M - 索引

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常量字段值|所有程序包|所有类和接口|序列化表格

M

m1 - 类中的变量 org.hipparchus.stat.descriptive.moment.SecondMoment: First moment of values that have been added
m2 - 类中的变量 org.hipparchus.stat.descriptive.moment.SecondMoment: Second moment of values that have been added
ma1 - 类中的变量 org.hipparchus.linear.ArrayFieldVectorTest
ma1 - 类中的变量 org.hipparchus.linear.SparseFieldVectorTest
main(String[]) - 类中的静态方法 org.hipparchus.samples.ClusterAlgorithmComparison: Example entry point.
main(String[]) - 类中的静态方法 org.hipparchus.samples.clustering.ImageClusteringExample: Program entry point.
main(String[]) - 类中的静态方法 org.hipparchus.samples.complex.GnuplotComplexPlotter: Main program.
main(String[]) - 类中的静态方法 org.hipparchus.samples.geometry.GeometryExample: Main entry point.
main(String[]) - 类中的静态方法 org.hipparchus.samples.IntegerDistributionComparison: Program entry point.
main(String[]) - 类中的静态方法 org.hipparchus.samples.LowDiscrepancyGeneratorComparison: Program entry point.
main(String[]) - 类中的静态方法 org.hipparchus.samples.RealDistributionComparison: Program entry point.
MainStateJacobianProvider - org.hipparchus.migration.ode中的接口: 已过时。
as of 1.0, replaced with ODEJacobiansProvider
makeBlobs(int, int, double, double, double, boolean, RandomGenerator) - 类中的静态方法 org.hipparchus.samples.ClusterAlgorithmComparison: Make blobs patterns.
makeCircle(int, RandomVectorGenerator) - 类中的静态方法 org.hipparchus.samples.LowDiscrepancyGeneratorComparison: Generate points within a circle.
makeCircles(int, boolean, double, double, RandomGenerator) - 类中的静态方法 org.hipparchus.samples.ClusterAlgorithmComparison: Make circles patterns.
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.CauchyDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.ChiSquaredDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.ConstantRealDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.ExponentialDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.FDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.GammaDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.GumbelDistributionTest
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.LaplaceDistributionTest
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.LevyDistributionTest
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.LogisticsDistributionTest
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.LogNormalDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.NakagamiDistributionTest
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.NormalDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.ParetoDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.RealDistributionAbstractTest: Creates the default cumulative probability test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.TDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.TriangularDistributionTest: Creates the default cumulative probability distribution test input values.
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.UniformRealDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.WeibullDistributionTest: Creates the default cumulative probability distribution test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.BinomialDistributionTest: Creates the default cumulative probability density test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.GeometricDistributionTest: Creates the default cumulative probability density test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.HypergeometricDistributionTest: Creates the default cumulative probability density test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.IntegerDistributionAbstractTest: Creates the default cumulative probability density test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.PascalDistributionTest: Creates the default cumulative probability density test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.PoissonDistributionTest: Creates the default cumulative probability density test input values.
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.UniformIntegerDistributionTest: Creates the default cumulative probability density test input values.
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.ZipfDistributionTest: Creates the default cumulative probability density test input values
makeCumulativeTestPoints() - 类中的方法 org.hipparchus.stat.fitting.EmpiricalDistributionTest
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.CauchyDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.ChiSquaredDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.ConstantRealDistributionTest: Creates the default cumulative probability distribution test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.ExponentialDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.FDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.GammaDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.GumbelDistributionTest
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.LaplaceDistributionTest
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.LevyDistributionTest
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.LogisticsDistributionTest
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.LogNormalDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.NakagamiDistributionTest
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.NormalDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.ParetoDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.RealDistributionAbstractTest: Creates the default cumulative probability test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.TDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.TriangularDistributionTest: Creates the default cumulative probability density test expected values.
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.UniformRealDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.WeibullDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.BinomialDistributionTest: Creates the default cumulative probability density test expected values.
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.GeometricDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.HypergeometricDistributionTest: Creates the default cumulative probability density test expected values Reference values are from R, version 2.15.3.
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.IntegerDistributionAbstractTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.PascalDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.PoissonDistributionTest: Creates the default cumulative probability density test expected values.
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.UniformIntegerDistributionTest: Creates the default cumulative probability density test expected values.
makeCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.ZipfDistributionTest: Creates the default cumulative probability density test expected values
makeCumulativeTestValues() - 类中的方法 org.hipparchus.stat.fitting.EmpiricalDistributionTest
makeDensityTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.BinomialDistributionTest: Creates the default probability density test input values.
makeDensityTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.GeometricDistributionTest: Creates the default probability density test input values
makeDensityTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.HypergeometricDistributionTest: Creates the default probability density test input values
makeDensityTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.IntegerDistributionAbstractTest: Creates the default probability density test input values
makeDensityTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.PascalDistributionTest: Creates the default probability density test input values
makeDensityTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.PoissonDistributionTest: Creates the default probability density test input values.
makeDensityTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.UniformIntegerDistributionTest: Creates the default probability density test input values.
makeDensityTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.ZipfDistributionTest: Creates the default probability density test input values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.CauchyDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.ChiSquaredDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.ConstantRealDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.ExponentialDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.FDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.GammaDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.GumbelDistributionTest
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.LaplaceDistributionTest
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.LevyDistributionTest
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.LogisticsDistributionTest
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.LogNormalDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.NakagamiDistributionTest
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.NormalDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.ParetoDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.RealDistributionAbstractTest: Creates the default density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.TDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.TriangularDistributionTest: Creates the default probability density test expected values.
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.UniformRealDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.WeibullDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.BinomialDistributionTest: Creates the default probability density test expected values.
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.GeometricDistributionTest: Creates the default probability density test expected values.
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.HypergeometricDistributionTest: Creates the default probability density test expected values Reference values are from R, version 2.15.3.
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.IntegerDistributionAbstractTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.PascalDistributionTest: Creates the default probability density test expected values
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.PoissonDistributionTest: Creates the default probability density test expected values.
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.UniformIntegerDistributionTest: Creates the default probability density test expected values.
makeDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.ZipfDistributionTest: Creates the default probability density test expected values.
makeDensityTestValues() - 类中的方法 org.hipparchus.stat.fitting.EmpiricalDistributionTest
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.CauchyDistributionTest: Creates the default continuous distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.ChiSquaredDistributionTest: Creates the default continuous distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.ConstantRealDistributionTest: Creates the default uniform real distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.ExponentialDistributionTest: Creates the default continuous distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.FDistributionTest: Creates the default continuous distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.GammaDistributionTest: Creates the default continuous distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.GumbelDistributionTest
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.LaplaceDistributionTest
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.LevyDistributionTest
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.LogisticsDistributionTest
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.LogNormalDistributionTest: Creates the default real distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.NakagamiDistributionTest
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.NormalDistributionTest: Creates the default real distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.ParetoDistributionTest: Creates the default real distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.RealDistributionAbstractTest: Creates the default continuous distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.TDistributionTest: Creates the default continuous distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.TriangularDistributionTest: Creates the default triangular distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.UniformRealDistributionTest: Creates the default uniform real distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.continuous.WeibullDistributionTest: Creates the default continuous distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.discrete.BinomialDistributionTest: Creates the default discrete distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.discrete.GeometricDistributionTest: Creates the default discrete distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.discrete.HypergeometricDistributionTest: Creates the default discrete distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.discrete.IntegerDistributionAbstractTest: Creates the default discrete distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.discrete.PascalDistributionTest: Creates the default discrete distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.discrete.PoissonDistributionTest: Creates the default discrete distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.discrete.UniformIntegerDistributionTest: Creates the default discrete distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.distribution.discrete.ZipfDistributionTest: Creates the default discrete distribution instance to use in tests.
makeDistribution() - 类中的方法 org.hipparchus.stat.fitting.EmpiricalDistributionTest
makeGenerator() - 类中的方法 org.hipparchus.random.ISAACTest
makeGenerator() - 类中的方法 org.hipparchus.random.JDKRandomGeneratorTest
makeGenerator() - 类中的方法 org.hipparchus.random.MersenneTwisterTest
makeGenerator() - 类中的方法 org.hipparchus.random.RandomGeneratorAbstractTest: Override this method in subclasses to provide a concrete generator to test.
makeGenerator() - 类中的方法 org.hipparchus.random.Well1024aTest
makeGenerator() - 类中的方法 org.hipparchus.random.Well19937aTest
makeGenerator() - 类中的方法 org.hipparchus.random.Well19937cTest
makeGenerator() - 类中的方法 org.hipparchus.random.Well44497aTest
makeGenerator() - 类中的方法 org.hipparchus.random.Well44497bTest
makeGenerator() - 类中的方法 org.hipparchus.random.Well512aTest
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.ChiSquaredDistributionTest: Creates the default inverse cumulative probability test input values
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.LogNormalDistributionTest: Creates the default inverse cumulative probability distribution test input values.
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.ParetoDistributionTest: Creates the default inverse cumulative probability distribution test input values.
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.RealDistributionAbstractTest: Creates the default inverse cumulative probability test input values
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.continuous.TriangularDistributionTest: Creates the default inverse cumulative probability distribution test input values.
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.BinomialDistributionTest: Creates the default inverse cumulative probability test input values
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.GeometricDistributionTest: Creates the default inverse cumulative probability test input values
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.HypergeometricDistributionTest: Creates the default inverse cumulative probability test input values
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.IntegerDistributionAbstractTest: Creates the default inverse cumulative probability test input values
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.PascalDistributionTest: Creates the default inverse cumulative probability test input values
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.PoissonDistributionTest: Creates the default inverse cumulative probability test input values.
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.UniformIntegerDistributionTest: Creates the default inverse cumulative probability test input values
makeInverseCumulativeTestPoints() - 类中的方法 org.hipparchus.distribution.discrete.ZipfDistributionTest: Creates the default inverse cumulative probability test input values
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.ChiSquaredDistributionTest: Creates the default inverse cumulative probability density test expected values
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.LogNormalDistributionTest: Creates the default inverse cumulative probability test expected values.
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.ParetoDistributionTest: Creates the default inverse cumulative probability test expected values.
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.RealDistributionAbstractTest: Creates the default inverse cumulative probability density test expected values
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.continuous.TriangularDistributionTest: Creates the default inverse cumulative probability density test expected values.
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.BinomialDistributionTest: Creates the default inverse cumulative probability density test expected values
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.GeometricDistributionTest: Creates the default inverse cumulative probability density test expected values
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.HypergeometricDistributionTest: Creates the default inverse cumulative probability density test expected values
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.IntegerDistributionAbstractTest: Creates the default inverse cumulative probability density test expected values
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.PascalDistributionTest: Creates the default inverse cumulative probability density test expected values
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.PoissonDistributionTest: Creates the default inverse cumulative probability density test expected values.
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.UniformIntegerDistributionTest: Creates the default inverse cumulative probability density test expected values
makeInverseCumulativeTestValues() - 类中的方法 org.hipparchus.distribution.discrete.ZipfDistributionTest: Creates the default inverse cumulative probability density test expected values
makeLogDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.LevyDistributionTest: Creates the default logarithmic probability density test expected values.
makeLogDensityTestValues() - 类中的方法 org.hipparchus.distribution.continuous.RealDistributionAbstractTest: Creates the default logarithmic density test expected values.
makeLogDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.GeometricDistributionTest: Creates the default log probability density test expected values.
makeLogDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.HypergeometricDistributionTest: Creates the default probability log density test expected values Reference values are from R, version 2.14.1.
makeLogDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.IntegerDistributionAbstractTest: Creates the default logarithmic probability density test expected values.
makeLogDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.PoissonDistributionTest: Creates the default logarithmic probability density test expected values.
makeLogDensityTestValues() - 类中的方法 org.hipparchus.distribution.discrete.ZipfDistributionTest: Creates the default logarithmic probability density test expected values.
makeMoons(int, boolean, double, RandomGenerator) - 类中的静态方法 org.hipparchus.samples.ClusterAlgorithmComparison: Make Moons patterns.
makeRandom(int, RandomVectorGenerator) - 类中的静态方法 org.hipparchus.samples.LowDiscrepancyGeneratorComparison: Generate points.
makeSobol(int) - 类中的静态方法 org.hipparchus.samples.ClusterAlgorithmComparison: Make Sobol patterns.
manageDependent(int, List<RealVector>) - 枚举类中的方法 org.hipparchus.linear.DependentVectorsHandler: Manage a dependent vector.
manageDependent(Field<T>, int, List<FieldVector<T>>) - 枚举类中的方法 org.hipparchus.linear.DependentVectorsHandler: Manage a dependent vector.
ManhattanDistance - org.hipparchus.clustering.distance中的类: Calculates the L₁ (sum of abs) distance between two points.
ManhattanDistance() - 类的构造器 org.hipparchus.clustering.distance.ManhattanDistance: Empty constructor.
ManhattanDistanceTest - org.hipparchus.clustering.distance中的类: Tests for ManhattanDistance class.
ManhattanDistanceTest() - 类的构造器 org.hipparchus.clustering.distance.ManhattanDistanceTest
mannWhitneyU(double[], double[]) - 类中的方法 org.hipparchus.stat.inference.MannWhitneyUTest: Computes the Mann-Whitney U statistic comparing means for two independent samples possibly of different lengths.
mannWhitneyUTest(double[], double[]) - 类中的方法 org.hipparchus.stat.inference.MannWhitneyUTest: Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U Test comparing means for two independent samples.
mannWhitneyUTest(double[], double[], boolean) - 类中的方法 org.hipparchus.stat.inference.MannWhitneyUTest: Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U Test comparing means for two independent samples.
MannWhitneyUTest - org.hipparchus.stat.inference中的类: An implementation of the Mann-Whitney U test.
MannWhitneyUTest() - 类的构造器 org.hipparchus.stat.inference.MannWhitneyUTest: Create a test instance using where NaN's are left in place and ties get the average of applicable ranks.
MannWhitneyUTest(NaNStrategy, TiesStrategy) - 类的构造器 org.hipparchus.stat.inference.MannWhitneyUTest: Create a test instance using the given strategies for NaN's and ties.
MannWhitneyUTestTest - org.hipparchus.stat.inference中的类: Test cases for the MannWhitneyUTest class.
MannWhitneyUTestTest() - 类的构造器 org.hipparchus.stat.inference.MannWhitneyUTestTest
mant - 类中的变量 org.hipparchus.dfp.Dfp: Mantissa.
map(Function<T, T>) - 接口中的方法 org.hipparchus.linear.FieldMatrix: Acts as if implemented as:
map(UnivariateFunction) - 类中的方法 org.hipparchus.linear.ArrayRealVector: Acts as if implemented as:
map(UnivariateFunction) - 接口中的方法 org.hipparchus.linear.RealMatrix: Acts as if implemented as:
map(UnivariateFunction) - 类中的方法 org.hipparchus.linear.RealVector: Acts as if implemented as:
MAP_MODIFIED_WHILE_ITERATING - 枚举类中的枚举常量 org.hipparchus.migration.exception.util.LocalizedFormats: 已过时。

MAP_MODIFIED_WHILE_ITERATING.
MAP_MODIFIED_WHILE_ITERATING - 枚举类中的枚举常量 org.hipparchus.migration.LocalizedMigrationFormats: 已过时。

MAP_MODIFIED_WHILE_ITERATING.
mapAdd(double) - 类中的方法 org.hipparchus.linear.OpenMapRealVector: Add a value to each entry.
mapAdd(double) - 类中的方法 org.hipparchus.linear.RealVector: Add a value to each entry.
mapAdd(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVector: Map an addition operation to each entry.
mapAdd(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVectorTest.FieldVectorTestImpl
mapAdd(T) - 接口中的方法 org.hipparchus.linear.FieldVector: Map an addition operation to each entry.
mapAdd(T) - 类中的方法 org.hipparchus.linear.SparseFieldVector: Map an addition operation to each entry.
mapAddToSelf(double) - 类中的方法 org.hipparchus.linear.ArrayRealVector: Add a value to each entry.
mapAddToSelf(double) - 类中的方法 org.hipparchus.linear.OpenMapRealVector: Add a value to each entry.
mapAddToSelf(double) - 类中的方法 org.hipparchus.linear.RealVector: Add a value to each entry.
mapAddToSelf(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVector: Map an addition operation to each entry.
mapAddToSelf(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVectorTest.FieldVectorTestImpl
mapAddToSelf(T) - 接口中的方法 org.hipparchus.linear.FieldVector: Map an addition operation to each entry.
mapAddToSelf(T) - 类中的方法 org.hipparchus.linear.SparseFieldVector: Map an addition operation to each entry.
mapDivide(double) - 类中的方法 org.hipparchus.linear.RealVector: Divide each entry by the argument.
mapDivide(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVector: Map a division operation to each entry.
mapDivide(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVectorTest.FieldVectorTestImpl
mapDivide(T) - 接口中的方法 org.hipparchus.linear.FieldVector: Map a division operation to each entry.
mapDivide(T) - 类中的方法 org.hipparchus.linear.SparseFieldVector: Map a division operation to each entry.
mapDivideToSelf(double) - 类中的方法 org.hipparchus.linear.ArrayRealVector: Divide each entry by the argument.
mapDivideToSelf(double) - 类中的方法 org.hipparchus.linear.RealVector: Divide each entry by the argument.
mapDivideToSelf(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVector: Map a division operation to each entry.
mapDivideToSelf(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVectorTest.FieldVectorTestImpl
mapDivideToSelf(T) - 接口中的方法 org.hipparchus.linear.FieldVector: Map a division operation to each entry.
mapDivideToSelf(T) - 类中的方法 org.hipparchus.linear.SparseFieldVector: Map a division operation to each entry.
mapInv() - 类中的方法 org.hipparchus.linear.ArrayFieldVector: Map the 1/x function to each entry.
mapInv() - 类中的方法 org.hipparchus.linear.ArrayFieldVectorTest.FieldVectorTestImpl
mapInv() - 接口中的方法 org.hipparchus.linear.FieldVector: Map the 1/x function to each entry.
mapInv() - 类中的方法 org.hipparchus.linear.SparseFieldVector: Map the 1/x function to each entry.
mapInvToSelf() - 类中的方法 org.hipparchus.linear.ArrayFieldVector: Map the 1/x function to each entry.
mapInvToSelf() - 类中的方法 org.hipparchus.linear.ArrayFieldVectorTest.FieldVectorTestImpl
mapInvToSelf() - 接口中的方法 org.hipparchus.linear.FieldVector: Map the 1/x function to each entry.
mapInvToSelf() - 类中的方法 org.hipparchus.linear.SparseFieldVector: Map the 1/x function to each entry.
mapMultiply(double) - 类中的方法 org.hipparchus.linear.RealVector: Multiply each entry by the argument.
mapMultiply(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVector: Map a multiplication operation to each entry.
mapMultiply(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVectorTest.FieldVectorTestImpl
mapMultiply(T) - 接口中的方法 org.hipparchus.linear.FieldVector: Map a multiplication operation to each entry.
mapMultiply(T) - 类中的方法 org.hipparchus.linear.SparseFieldVector: Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - 类中的方法 org.hipparchus.linear.ArrayRealVector: Multiply each entry.
mapMultiplyToSelf(double) - 类中的方法 org.hipparchus.linear.RealVector: Multiply each entry.
mapMultiplyToSelf(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVector: Map a multiplication operation to each entry.
mapMultiplyToSelf(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVectorTest.FieldVectorTestImpl
mapMultiplyToSelf(T) - 接口中的方法 org.hipparchus.linear.FieldVector: Map a multiplication operation to each entry.
mapMultiplyToSelf(T) - 类中的方法 org.hipparchus.linear.SparseFieldVector: Map a multiplication operation to each entry.
mapStateAndDerivative(double, double[], double[]) - 类中的方法 org.hipparchus.ode.EquationsMapper: Map flat arrays to a state and derivative.
mapStateAndDerivative(T, T[], T[]) - 类中的方法 org.hipparchus.ode.FieldEquationsMapper: Map flat arrays to a state and derivative.
mapSubtract(double) - 类中的方法 org.hipparchus.linear.RealVector: Subtract a value from each entry.
mapSubtract(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVector: Map a subtraction operation to each entry.
mapSubtract(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVectorTest.FieldVectorTestImpl
mapSubtract(T) - 接口中的方法 org.hipparchus.linear.FieldVector: Map a subtraction operation to each entry.
mapSubtract(T) - 类中的方法 org.hipparchus.linear.SparseFieldVector: Map a subtraction operation to each entry.
mapSubtractToSelf(double) - 类中的方法 org.hipparchus.linear.ArrayRealVector: Subtract a value from each entry.
mapSubtractToSelf(double) - 类中的方法 org.hipparchus.linear.RealVector: Subtract a value from each entry.
mapSubtractToSelf(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVector: Map a subtraction operation to each entry.
mapSubtractToSelf(T) - 类中的方法 org.hipparchus.linear.ArrayFieldVectorTest.FieldVectorTestImpl
mapSubtractToSelf(T) - 接口中的方法 org.hipparchus.linear.FieldVector: Map a subtraction operation to each entry.
mapSubtractToSelf(T) - 类中的方法 org.hipparchus.linear.SparseFieldVector: Map a subtraction operation to each entry.
mapToSelf(Function<T, T>) - 接口中的方法 org.hipparchus.linear.FieldMatrix: Replace each entry by the result of applying the function to it.
mapToSelf(UnivariateFunction) - 类中的方法 org.hipparchus.linear.ArrayRealVector: Acts as if it is implemented as:
mapToSelf(UnivariateFunction) - 接口中的方法 org.hipparchus.linear.RealMatrix: Replace each entry by the result of applying the function to it.
mapToSelf(UnivariateFunction) - 类中的方法 org.hipparchus.linear.RealVector: Acts as if it is implemented as:
mat1 - 类中的变量 org.hipparchus.linear.ArrayFieldVectorTest
mat1 - 类中的变量 org.hipparchus.linear.SparseFieldVectorTest
MathArithmeticException - org.hipparchus.migration.exception中的异常错误类: 已过时。
as of 1.0, replaced with MathRuntimeException
MathArithmeticException() - 异常错误类的构造器 org.hipparchus.migration.exception.MathArithmeticException: 已过时。

Default constructor.
MathArithmeticException(Localizable, Object...) - 异常错误类的构造器 org.hipparchus.migration.exception.MathArithmeticException: 已过时。

Constructor with a specific message.
MathArrays - org.hipparchus.util中的类: Arrays utilities.
MathArrays.Function - org.hipparchus.util中的接口: Real-valued function that operates on an array or a part of it.
MathArrays.OrderDirection - org.hipparchus.util中的枚举类: Specification of ordering direction.
MathArrays.Position - org.hipparchus.util中的枚举类: Specification for indicating that some operation applies before or after a given index.
MathArraysTest - org.hipparchus.util中的类: Test cases for the MathArrays class.
MathArraysTest() - 类的构造器 org.hipparchus.util.MathArraysTest
MathIllegalArgumentException - org.hipparchus.exception中的异常错误类: Base class for all preconditions violation exceptions.
MathIllegalArgumentException(Throwable, Localizable, Object...) - 异常错误类的构造器 org.hipparchus.exception.MathIllegalArgumentException: Simple constructor.
MathIllegalArgumentException(Localizable, Object...) - 异常错误类的构造器 org.hipparchus.exception.MathIllegalArgumentException: Simple constructor.
MathIllegalNumberException - org.hipparchus.migration.exception中的异常错误类: 已过时。
as of 1.0, this exception is replaced by MathIllegalArgumentException
MathIllegalNumberException(Localizable, Number, Object...) - 异常错误类的构造器 org.hipparchus.migration.exception.MathIllegalNumberException: 已过时。

Construct an exception.
MathIllegalStateException - org.hipparchus.exception中的异常错误类: Base class for all exceptions that signal that the process throwing the exception is in a state that does not comply with the set of states that it is designed to be in.
MathIllegalStateException(Throwable, Localizable, Object...) - 异常错误类的构造器 org.hipparchus.exception.MathIllegalStateException: Simple constructor.
MathIllegalStateException(Localizable, Object...) - 异常错误类的构造器 org.hipparchus.exception.MathIllegalStateException: Simple constructor.
MathInternalError - org.hipparchus.migration.exception中的异常错误类: 已过时。
as of 1.0, this exception is replaced by MathIllegalStateException
MathInternalError() - 异常错误类的构造器 org.hipparchus.migration.exception.MathInternalError: 已过时。

Simple constructor.
MathInternalError(Throwable) - 异常错误类的构造器 org.hipparchus.migration.exception.MathInternalError: 已过时。

Simple constructor.
MathInternalError(Localizable, Object...) - 异常错误类的构造器 org.hipparchus.migration.exception.MathInternalError: 已过时。

Constructor accepting a localized message.
MathParseException - org.hipparchus.migration.exception中的异常错误类: 已过时。
as of 1.0, this exception is replaced by MathIllegalStateException
MathParseException(String, int) - 异常错误类的构造器 org.hipparchus.migration.exception.MathParseException: 已过时。

Simple constructor.
MathParseException(String, int, Class<?>) - 异常错误类的构造器 org.hipparchus.migration.exception.MathParseException: 已过时。

Simple constructor.
MathRuntimeException - org.hipparchus.exception中的异常错误类: All exceptions thrown by the Hipparchus code inherit from this class.
MathRuntimeException(Throwable, Localizable, Object...) - 异常错误类的构造器 org.hipparchus.exception.MathRuntimeException: Simple constructor.
MathRuntimeException(Localizable, Object...) - 异常错误类的构造器 org.hipparchus.exception.MathRuntimeException: Simple constructor.
MathRuntimeExceptionTest - org.hipparchus.exception中的类: Unit tests for MathRuntimeException.
MathRuntimeExceptionTest() - 类的构造器 org.hipparchus.exception.MathRuntimeExceptionTest
MathUnsupportedOperationException - org.hipparchus.migration.exception中的异常错误类: 已过时。
as of 1.0, replaced with MathRuntimeException
MathUnsupportedOperationException() - 异常错误类的构造器 org.hipparchus.migration.exception.MathUnsupportedOperationException: 已过时。

Default constructor.
MathUnsupportedOperationException(Localizable, Object...) - 异常错误类的构造器 org.hipparchus.migration.exception.MathUnsupportedOperationException: 已过时。

Simple constructor.
MathUtils - org.hipparchus.util中的类: Miscellaneous utility functions.
MathUtils.FieldSumAndResidual<T> - org.hipparchus.util中的类: Result class for MathUtils.twoSum(FieldElement, FieldElement) containing the sum and the residual error in the sum.
MathUtils.SumAndResidual - org.hipparchus.util中的类: Result class for MathUtils.twoSum(double, double) containing the sum and the residual error in the sum.
MathUtilsTest - org.hipparchus.util中的类: Test cases for the MathUtils class.
MathUtilsTest() - 类的构造器 org.hipparchus.util.MathUtilsTest
matricesToEigenArrays() - 类中的方法 org.hipparchus.linear.ComplexEigenDecomposition: Reset eigenvalues and eigen vectors from matrices.
MatrixDecomposer - org.hipparchus.linear中的接口: Interface for all algorithms providing matrix decomposition.
MatrixDimensionMismatchException - org.hipparchus.migration.linear中的异常错误类: 已过时。
as of 1.0, this exception is replaced by MathIllegalArgumentException
MatrixDimensionMismatchException(int, int, int, int) - 异常错误类的构造器 org.hipparchus.migration.linear.MatrixDimensionMismatchException: 已过时。

Construct an exception from the mismatched dimensions.
matrixExponential(RealMatrix) - 类中的静态方法 org.hipparchus.linear.MatrixUtils: Computes the matrix exponential of the given matrix.
MatrixUtils - org.hipparchus.linear中的类: A collection of static methods that operate on or return matrices.
MatrixUtilsTest - org.hipparchus.linear中的类: Test cases for the MatrixUtils class.
MatrixUtilsTest() - 类的构造器 org.hipparchus.linear.MatrixUtilsTest
max - 类中的变量 org.hipparchus.stat.descriptive.UnivariateStatisticAbstractTest
max(double...) - 类中的静态方法 org.hipparchus.stat.StatUtils: Returns the maximum of the entries in the input array, or Double.NaN if the array is empty.
max(double[]) - 类中的静态方法 org.hipparchus.UnitTestUtils: Computes the maximum of the values in the input array.
max(double[], int, int) - 类中的静态方法 org.hipparchus.stat.StatUtils: Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
max(double, double) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the maximum of two values
max(float, float) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the maximum of two values
max(int, int) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the maximum of two values
max(long, long) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the maximum of two values
max(T, double) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the maximum of two values
max(T, T) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the maximum of two values
max(T, T) - 类中的静态方法 org.hipparchus.util.MathUtils: Find the maximum of two field elements.
Max - org.hipparchus.analysis.function中的类: Maximum function.
Max - org.hipparchus.stat.descriptive.rank中的类: Returns the maximum of the available values.
Max() - 类的构造器 org.hipparchus.analysis.function.Max: Empty constructor.
Max() - 类的构造器 org.hipparchus.stat.descriptive.rank.Max: Create a Max instance.
Max(Max) - 类的构造器 org.hipparchus.stat.descriptive.rank.Max: Copy constructor, creates a new Max identical to the original.
MAX_BELL - 类中的静态变量 org.hipparchus.util.CombinatoricsUtils: Maximum index of Bell number that fits into a long.
MAX_COUNT_EXCEEDED - 枚举类中的枚举常量 org.hipparchus.exception.LocalizedCoreFormats: MAX_COUNT_EXCEEDED.
MAX_COUNT_EXCEEDED - 枚举类中的枚举常量 org.hipparchus.migration.exception.util.LocalizedFormats: 已过时。

MAX_COUNT_EXCEEDED.
MAX_EXP - 类中的静态变量 org.hipparchus.dfp.Dfp: The maximum exponent before overflow is signaled and results flushed to infinity
MAX_ITERATIONS_EXCEEDED - 枚举类中的枚举常量 org.hipparchus.migration.exception.util.LocalizedFormats: 已过时。

MAX_ITERATIONS_EXCEEDED.
MAX_ITERATIONS_EXCEEDED - 枚举类中的枚举常量 org.hipparchus.migration.LocalizedMigrationFormats: 已过时。

MAX_ITERATIONS_EXCEEDED.
MAX_NUM_POINTS - 类中的静态变量 org.hipparchus.analysis.integration.gauss.FieldHermiteParametricTest: The highest order quadrature rule to be tested.
MAX_NUM_POINTS - 类中的静态变量 org.hipparchus.analysis.integration.gauss.FieldLegendreParametricTest: The highest order quadrature rule to be tested.
MAX_NUM_POINTS - 类中的静态变量 org.hipparchus.analysis.integration.gauss.HermiteParametricTest: The highest order quadrature rule to be tested.
MAX_NUM_POINTS - 类中的静态变量 org.hipparchus.analysis.integration.gauss.LegendreHighPrecisionParametricTest: The highest order quadrature rule to be tested.
MAX_NUM_POINTS - 类中的静态变量 org.hipparchus.analysis.integration.gauss.LegendreParametricTest: The highest order quadrature rule to be tested.
MaxCountExceededException - org.hipparchus.migration.exception中的异常错误类: 已过时。
as of 1.0, this exception is replaced by MathIllegalStateException
MaxCountExceededException(Number) - 异常错误类的构造器 org.hipparchus.migration.exception.MaxCountExceededException: 已过时。

Construct the exception.
MaxCountExceededException(Localizable, Number, Object...) - 异常错误类的构造器 org.hipparchus.migration.exception.MaxCountExceededException: 已过时。

Construct the exception with a specific context.
MaxEval - org.hipparchus.optim中的类: Maximum number of evaluations of the function to be optimized.
MaxEval(int) - 类的构造器 org.hipparchus.optim.MaxEval: Simple constructor.
maxEvaluations(int) - 类中的方法 org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresBuilder: Configure the max evaluations.
MAXIMAL - 枚举类中的枚举常量 org.hipparchus.stat.ranking.NaNStrategy: NaNs are considered maximal in the ordering
MAXIMIZE - 枚举类中的枚举常量 org.hipparchus.optim.nonlinear.scalar.GoalType: Maximization.
MAXIMUM - 枚举类中的枚举常量 org.hipparchus.stat.ranking.TiesStrategy: Ties get the maximum applicable rank
MAXIMUM_PARTIAL_SUM_COUNT - 类中的静态变量 org.hipparchus.stat.inference.KolmogorovSmirnovTest: Bound on the number of partial sums in KolmogorovSmirnovTest.ksSum(double, double, int)
MaxIter - org.hipparchus.optim中的类: Maximum number of iterations performed by an (iterative) algorithm.
MaxIter(int) - 类的构造器 org.hipparchus.optim.MaxIter: Simple constructor.
maxIterations(int) - 类中的方法 org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresBuilder: Configure the max iterations.
MaxTest - org.hipparchus.stat.descriptive.rank中的类: Test cases for the Max class.
MaxTest() - 类的构造器 org.hipparchus.stat.descriptive.rank.MaxTest
maxValuesRetained(double) - 类中的静态方法 org.hipparchus.stat.descriptive.rank.RandomPercentile: Returns the maximum number of double values that a RandomPercentile instance created with the given epsilon value will retain in memory.
mean - 类中的变量 org.hipparchus.stat.CertifiedDataTest
mean - 类中的变量 org.hipparchus.stat.descriptive.moment.InteractionTest
mean - 类中的变量 org.hipparchus.stat.descriptive.UnivariateStatisticAbstractTest
mean(double...) - 类中的静态方法 org.hipparchus.stat.StatUtils: Returns the arithmetic mean of the entries in the input array, or Double.NaN if the array is empty.
mean(double[]) - 类中的静态方法 org.hipparchus.UnitTestUtils: Computes the mean of the values in the array.
mean(double[], int, int) - 类中的静态方法 org.hipparchus.stat.StatUtils: Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
Mean - org.hipparchus.stat.descriptive.moment中的类: Computes the arithmetic mean of a set of values.
Mean() - 类的构造器 org.hipparchus.stat.descriptive.moment.Mean: Constructs a Mean.
Mean(FirstMoment) - 类的构造器 org.hipparchus.stat.descriptive.moment.Mean: Constructs a Mean with an External Moment.
Mean(Mean) - 类的构造器 org.hipparchus.stat.descriptive.moment.Mean: Copy constructor, creates a new Mean identical to the original.
MEAN - 枚举类中的枚举常量 org.hipparchus.exception.LocalizedCoreFormats: MEAN.
MEAN - 枚举类中的枚举常量 org.hipparchus.migration.exception.util.LocalizedFormats: 已过时。

MEAN.
meanDifference(double[], double[]) - 类中的静态方法 org.hipparchus.stat.StatUtils: Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
MeanTest - org.hipparchus.stat.descriptive.moment中的类: Test cases for the Mean class.
MeanTest() - 类的构造器 org.hipparchus.stat.descriptive.moment.MeanTest
Measurement - org.hipparchus.filtering.kalman中的接口: Interface defining a measurement on process.
median - 类中的变量 org.hipparchus.stat.descriptive.UnivariateStatisticAbstractTest
median(double[]) - 类中的静态方法 org.hipparchus.UnitTestUtils: Computes the median of the values in the input array.
Median - org.hipparchus.stat.descriptive.rank中的类: Returns the median of the available values.
Median() - 类的构造器 org.hipparchus.stat.descriptive.rank.Median: Default constructor.
MEDIAN_OF_3 - 枚举类中的枚举常量 org.hipparchus.util.PivotingStrategy: Classic median of 3 strategy given begin and end indices.
MedianTest - org.hipparchus.stat.descriptive.rank中的类: Test cases for the Median class.
MedianTest() - 类的构造器 org.hipparchus.stat.descriptive.rank.MedianTest
merge(Collection<? extends Frequency<? extends T>>) - 类中的方法 org.hipparchus.stat.Frequency: Merge a Collection of Frequency objects into this instance.
merge(BSPTree<S>, BSPTree.LeafMerger<S>) - 类中的方法 org.hipparchus.geometry.partitioning.BSPTree: Merge a BSP tree with the instance.
merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - 接口中的方法 org.hipparchus.geometry.partitioning.BSPTree.LeafMerger: Merge a leaf node and a tree node.
merge(Frequency<? extends T>) - 类中的方法 org.hipparchus.stat.Frequency: Merge another Frequency object's counts into this instance.
MersenneTwister - org.hipparchus.random中的类: This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
MersenneTwister() - 类的构造器 org.hipparchus.random.MersenneTwister: Creates a new random number generator.
MersenneTwister(int) - 类的构造器 org.hipparchus.random.MersenneTwister: Creates a new random number generator using a single int seed.
MersenneTwister(int[]) - 类的构造器 org.hipparchus.random.MersenneTwister: Creates a new random number generator using an int array seed.
MersenneTwister(long) - 类的构造器 org.hipparchus.random.MersenneTwister: Creates a new random number generator using a single long seed.
MersenneTwisterTest - org.hipparchus.random中的类
MersenneTwisterTest() - 类的构造器 org.hipparchus.random.MersenneTwisterTest
MerweUnscentedTransform - org.hipparchus.util中的类: Unscented transform as defined by Merwe and Wan.
MerweUnscentedTransform(int) - 类的构造器 org.hipparchus.util.MerweUnscentedTransform: Default constructor.
MerweUnscentedTransform(int, double, double, double) - 类的构造器 org.hipparchus.util.MerweUnscentedTransform: Simple constructor.
MerweUnscentedTransformTest - org.hipparchus.util中的类
MerweUnscentedTransformTest() - 类的构造器 org.hipparchus.util.MerweUnscentedTransformTest
methodInvoker(FrameworkMethod, Object) - 类中的方法 org.hipparchus.RetryRunner
MicrosphereProjectionInterpolator - org.hipparchus.analysis.interpolation中的类: Interpolator that implements the algorithm described in William Dudziak's MS thesis.
MicrosphereProjectionInterpolator(int, int, double, double, double, double, boolean, double) - 类的构造器 org.hipparchus.analysis.interpolation.MicrosphereProjectionInterpolator: Create a microsphere interpolator.
MicrosphereProjectionInterpolator(InterpolatingMicrosphere, double, boolean, double) - 类的构造器 org.hipparchus.analysis.interpolation.MicrosphereProjectionInterpolator: Create a microsphere interpolator.
MicrosphereProjectionInterpolatorTest - org.hipparchus.analysis.interpolation中的类: Test case for the "microsphere projection" interpolator.
MicrosphereProjectionInterpolatorTest() - 类的构造器 org.hipparchus.analysis.interpolation.MicrosphereProjectionInterpolatorTest
midpoint(double, double) - 类中的静态方法 org.hipparchus.analysis.solvers.UnivariateSolverUtils: Compute the midpoint of two values.
MIDPOINT_MAX_ITERATIONS_COUNT - 类中的静态变量 org.hipparchus.analysis.integration.FieldMidPointIntegrator: Maximum number of iterations for midpoint.
MIDPOINT_MAX_ITERATIONS_COUNT - 类中的静态变量 org.hipparchus.analysis.integration.MidPointIntegrator: Maximum number of iterations for midpoint.
MidpointFieldIntegrator<T> - org.hipparchus.ode.nonstiff中的类: This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
MidpointFieldIntegrator(Field<T>, T) - 类的构造器 org.hipparchus.ode.nonstiff.MidpointFieldIntegrator: Simple constructor.
MidpointFieldIntegratorTest - org.hipparchus.ode.nonstiff中的类
MidpointFieldIntegratorTest() - 类的构造器 org.hipparchus.ode.nonstiff.MidpointFieldIntegratorTest
MidpointFieldStateInterpolatorTest - org.hipparchus.ode.nonstiff中的类
MidpointFieldStateInterpolatorTest() - 类的构造器 org.hipparchus.ode.nonstiff.MidpointFieldStateInterpolatorTest
MidpointIntegrator - org.hipparchus.ode.nonstiff中的类: This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
MidpointIntegrator(double) - 类的构造器 org.hipparchus.ode.nonstiff.MidpointIntegrator: Simple constructor.
MidPointIntegrator - org.hipparchus.analysis.integration中的类: Implements the Midpoint Rule for integration of real univariate functions.
MidPointIntegrator() - 类的构造器 org.hipparchus.analysis.integration.MidPointIntegrator: Construct a midpoint integrator with default settings.
MidPointIntegrator(double, double, int, int) - 类的构造器 org.hipparchus.analysis.integration.MidPointIntegrator: Build a midpoint integrator with given accuracies and iterations counts.
MidPointIntegrator(int, int) - 类的构造器 org.hipparchus.analysis.integration.MidPointIntegrator: Build a midpoint integrator with given iteration counts.
MidpointIntegratorTest - org.hipparchus.ode.nonstiff中的类
MidpointIntegratorTest() - 类的构造器 org.hipparchus.ode.nonstiff.MidpointIntegratorTest
MidPointIntegratorTest - org.hipparchus.analysis.integration中的类: Test case for midpoint integrator.
MidPointIntegratorTest() - 类的构造器 org.hipparchus.analysis.integration.MidPointIntegratorTest
MidpointStateInterpolatorTest - org.hipparchus.ode.nonstiff中的类
MidpointStateInterpolatorTest() - 类的构造器 org.hipparchus.ode.nonstiff.MidpointStateInterpolatorTest
MillerUpdatingRegression - org.hipparchus.stat.regression中的类: This class is a concrete implementation of the UpdatingMultipleLinearRegression interface.
MillerUpdatingRegression(int, boolean) - 类的构造器 org.hipparchus.stat.regression.MillerUpdatingRegression: Primary constructor for the MillerUpdatingRegression.
MillerUpdatingRegression(int, boolean, double) - 类的构造器 org.hipparchus.stat.regression.MillerUpdatingRegression: This is the augmented constructor for the MillerUpdatingRegression class.
MillerUpdatingRegressionTest - org.hipparchus.stat.regression中的类: MillerUpdatingRegression tests.
MillerUpdatingRegressionTest() - 类的构造器 org.hipparchus.stat.regression.MillerUpdatingRegressionTest
min - 类中的变量 org.hipparchus.stat.descriptive.UnivariateStatisticAbstractTest
min(double...) - 类中的静态方法 org.hipparchus.stat.StatUtils: Returns the minimum of the entries in the input array, or Double.NaN if the array is empty.
min(double[]) - 类中的静态方法 org.hipparchus.UnitTestUtils
min(double[], int, int) - 类中的静态方法 org.hipparchus.stat.StatUtils: Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
min(double, double) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the minimum of two values
min(float, float) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the minimum of two values
min(int, int) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the minimum of two values
min(long, long) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the minimum of two values
min(T, double) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the minimum of two values
min(T, T) - 类中的静态方法 org.hipparchus.util.FastMath: Compute the minimum of two values
min(T, T) - 类中的静态方法 org.hipparchus.util.MathUtils: Find the minimum of two field elements.
Min - org.hipparchus.analysis.function中的类: Minimum function.
Min - org.hipparchus.stat.descriptive.rank中的类: Returns the minimum of the available values.
Min() - 类的构造器 org.hipparchus.analysis.function.Min: Empty constructor.
Min() - 类的构造器 org.hipparchus.stat.descriptive.rank.Min: Create a Min instance.
Min(Min) - 类的构造器 org.hipparchus.stat.descriptive.rank.Min: Copy constructor, creates a new Min identical to the original.
MIN_EXP - 类中的静态变量 org.hipparchus.dfp.Dfp: The minimum exponent before underflow is signaled.
minAndMax() - 类中的方法 org.hipparchus.util.RyuDoubleTest
MINIMAL - 枚举类中的枚举常量 org.hipparchus.stat.ranking.NaNStrategy: NaNs are considered minimal in the ordering
MINIMAL_STEPSIZE_REACHED_DURING_INTEGRATION - 枚举类中的枚举常量 org.hipparchus.migration.exception.util.LocalizedFormats: 已过时。

MINIMAL_STEPSIZE_REACHED_DURING_INTEGRATION.
MINIMAL_STEPSIZE_REACHED_DURING_INTEGRATION - 枚举类中的枚举常量 org.hipparchus.ode.LocalizedODEFormats: MINIMAL_STEPSIZE_REACHED_DURING_INTEGRATION.
MINIMIZE - 枚举类中的枚举常量 org.hipparchus.optim.nonlinear.scalar.GoalType: Minimization.
MINIMUM - 枚举类中的枚举常量 org.hipparchus.stat.ranking.TiesStrategy: Ties get the minimum applicable rank
MINIMUM_PROBLEM_DIMENSION - 类中的静态变量 org.hipparchus.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer: Minimum dimension of the problem: 2
MinpackTest - org.hipparchus.optim.nonlinear.vector.leastsquares中的类: Some of the unit tests are re-implementations of the MINPACK file17 and file22 test files.
MinpackTest() - 类的构造器 org.hipparchus.optim.nonlinear.vector.leastsquares.MinpackTest
MinTest - org.hipparchus.stat.descriptive.rank中的类: Test cases for the Min class.
MinTest() - 类的构造器 org.hipparchus.stat.descriptive.rank.MinTest
Minus - org.hipparchus.analysis.function中的类: Minus function.
Minus() - 类的构造器 org.hipparchus.analysis.function.Minus: Empty constructor.
MINUS - 枚举类中的枚举常量 org.hipparchus.geometry.partitioning.Side: Code for the minus side of the hyperplane.
MINUS_I - 类中的静态变量 org.hipparchus.complex.Complex: The square root of -1.
MINUS_I - 类中的静态变量 org.hipparchus.geometry.euclidean.threed.Vector3D: Opposite of the first canonical vector (coordinates: -1, 0, 0).
MINUS_I - 类中的静态变量 org.hipparchus.geometry.euclidean.twod.Vector2D: Opposite of the first canonical vector (coordinates: -1, 0).
MINUS_I - 类中的静态变量 org.hipparchus.geometry.spherical.twod.S2Point: -I (coordinates: \( \theta = \pi, \varphi = \pi/2 \)).
MINUS_J - 类中的静态变量 org.hipparchus.geometry.euclidean.threed.Vector3D: Opposite of the second canonical vector (coordinates: 0, -1, 0).
MINUS_J - 类中的静态变量 org.hipparchus.geometry.euclidean.twod.Vector2D: Opposite of the second canonical vector (coordinates: 0, -1).
MINUS_J - 类中的静态变量 org.hipparchus.geometry.spherical.twod.S2Point: -J (coordinates: \( \theta = 3\pi/2, \varphi = \pi/2 \)).
MINUS_K - 类中的静态变量 org.hipparchus.geometry.euclidean.threed.Vector3D: Opposite of the third canonical vector (coordinates: 0, 0, -1).
MINUS_K - 类中的静态变量 org.hipparchus.geometry.spherical.twod.S2Point: -K (coordinates: \( \theta = any angle, \varphi = \pi \)).
MINUS_ONE - 类中的静态变量 org.hipparchus.complex.Complex: A complex number representing "-1.0 + 0.0i".
MINUS_ONE - 类中的静态变量 org.hipparchus.fraction.BigFraction: A fraction representing "-1 / 1".
MINUS_ONE - 类中的静态变量 org.hipparchus.fraction.Fraction: A fraction representing "-1 / 1".
MINUS_PLUS_SUB - 枚举类中的枚举常量 org.hipparchus.geometry.partitioning.BSPTreeVisitor.Order: Indicator for visit order minus sub-tree, then plus sub-tree, and last cut sub-hyperplane.
MINUS_SUB_PLUS - 枚举类中的枚举常量 org.hipparchus.geometry.partitioning.BSPTreeVisitor.Order: Indicator for visit order minus sub-tree, then cut sub-hyperplane, and last plus sub-tree.
MINUS_X - 类中的静态变量 org.hipparchus.util.Binary64Test
MINUS_X - 类中的静态变量 org.hipparchus.util.FieldTupleTest
MINUS_X - 类中的静态变量 org.hipparchus.util.TupleTest
MINUS_Y - 类中的静态变量 org.hipparchus.util.Binary64Test
MINUS_Y - 类中的静态变量 org.hipparchus.util.FieldTupleTest
MINUS_Y - 类中的静态变量 org.hipparchus.util.TupleTest
MINUS_ZERO - 类中的静态变量 org.hipparchus.util.Binary64Test
MINUS_ZERO - 类中的静态变量 org.hipparchus.util.FieldTupleTest
MINUS_ZERO - 类中的静态变量 org.hipparchus.util.TupleTest
MISMATCHED_LOESS_ABSCISSA_ORDINATE_ARRAYS - 枚举类中的枚举常量 org.hipparchus.migration.exception.util.LocalizedFormats: 已过时。

MISMATCHED_LOESS_ABSCISSA_ORDINATE_ARRAYS.
MISMATCHED_LOESS_ABSCISSA_ORDINATE_ARRAYS - 枚举类中的枚举常量 org.hipparchus.migration.LocalizedMigrationFormats: 已过时。

MISMATCHED_LOESS_ABSCISSA_ORDINATE_ARRAYS.
MismatchedEquations() - 异常错误类的构造器 org.hipparchus.migration.ode.JacobianMatrices.MismatchedEquations: 已过时。

Simple constructor.
MismatchedEquations() - 异常错误类的构造器 org.hipparchus.ode.VariationalEquation.MismatchedEquations: Simple constructor.
MixtureMultivariateNormalDistribution - org.hipparchus.distribution.multivariate中的类: Multivariate normal mixture distribution.
MixtureMultivariateNormalDistribution(double[], double[][], double[][][]) - 类的构造器 org.hipparchus.distribution.multivariate.MixtureMultivariateNormalDistribution: Creates a multivariate normal mixture distribution.
MixtureMultivariateNormalDistribution(List<Pair<Double, MultivariateNormalDistribution>>) - 类的构造器 org.hipparchus.distribution.multivariate.MixtureMultivariateNormalDistribution: Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateNormalDistribution(RandomGenerator, List<Pair<Double, MultivariateNormalDistribution>>) - 类的构造器 org.hipparchus.distribution.multivariate.MixtureMultivariateNormalDistribution: Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateRealDistribution<T> - org.hipparchus.distribution.multivariate中的类: Class for representing mixture model distributions.
MixtureMultivariateRealDistribution(List<Pair<Double, T>>) - 类的构造器 org.hipparchus.distribution.multivariate.MixtureMultivariateRealDistribution: Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateRealDistribution(RandomGenerator, List<Pair<Double, T>>) - 类的构造器 org.hipparchus.distribution.multivariate.MixtureMultivariateRealDistribution: Creates a mixture model from a list of distributions and their associated weights.
mode(double...) - 类中的静态方法 org.hipparchus.stat.StatUtils: Returns the sample mode(s).
mode(double[], int, int) - 类中的静态方法 org.hipparchus.stat.StatUtils: Returns the sample mode(s).
model(MultivariateVectorFunction, MultivariateMatrixFunction) - 类中的方法 org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresBuilder: Configure the model function.
model(MultivariateVectorFunction, MultivariateMatrixFunction) - 类中的静态方法 org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresFactory: Combine a MultivariateVectorFunction with a MultivariateMatrixFunction to produce a MultivariateJacobianFunction.
model(MultivariateJacobianFunction) - 类中的方法 org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresBuilder: Configure the model function.
ModelSpecificationException - org.hipparchus.migration.stat.regression中的异常错误类: 已过时。
as of 1.0, this exception is replaced by MathIllegalArgumentException
ModelSpecificationException(Localizable, Object...) - 异常错误类的构造器 org.hipparchus.migration.stat.regression.ModelSpecificationException: 已过时。

Simple constructor.
moment - 类中的变量 org.hipparchus.stat.descriptive.moment.Kurtosis: Fourth Moment on which this statistic is based
moment - 类中的变量 org.hipparchus.stat.descriptive.moment.Mean: First moment on which this statistic is based.
moment - 类中的变量 org.hipparchus.stat.descriptive.moment.Skewness: Third moment on which this statistic is based
moment - 类中的变量 org.hipparchus.stat.descriptive.moment.Variance: SecondMoment is used in incremental calculation of Variance
moments(boolean) - 类中的方法 org.hipparchus.stat.descriptive.StreamingStatistics.StreamingStatisticsBuilder: Sets the computeMoments setting of the factory
MonitoredFunction - org.hipparchus.analysis中的类: Wrapper class for counting functions calls.
MonitoredFunction(UnivariateFunction) - 类的构造器 org.hipparchus.analysis.MonitoredFunction
MonotoneChain - org.hipparchus.geometry.euclidean.twod.hull中的类: Implements Andrew's monotone chain method to generate the convex hull of a finite set of points in the two-dimensional euclidean space.
MonotoneChain() - 类的构造器 org.hipparchus.geometry.euclidean.twod.hull.MonotoneChain: Create a new MonotoneChain instance.
MonotoneChain(boolean) - 类的构造器 org.hipparchus.geometry.euclidean.twod.hull.MonotoneChain: Create a new MonotoneChain instance.
MonotoneChain(boolean, double) - 类的构造器 org.hipparchus.geometry.euclidean.twod.hull.MonotoneChain: Create a new MonotoneChain instance.
MonotoneChainTest - org.hipparchus.geometry.euclidean.twod.hull中的类: Test class for MonotoneChain.
MonotoneChainTest() - 类的构造器 org.hipparchus.geometry.euclidean.twod.hull.MonotoneChainTest
MUL - 枚举类中的枚举常量 org.hipparchus.linear.RealVectorAbstractTest.BinaryOperation
mulAndCheck(int, int) - 类中的静态方法 org.hipparchus.util.ArithmeticUtils: Multiply two integers, checking for overflow.
mulAndCheck(long, long) - 类中的静态方法 org.hipparchus.util.ArithmeticUtils: Multiply two long integers, checking for overflow.
MullerSolver - org.hipparchus.analysis.solvers中的类: This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver() - 类的构造器 org.hipparchus.analysis.solvers.MullerSolver: Construct a solver with default accuracy (1e-6).
MullerSolver(double) - 类的构造器 org.hipparchus.analysis.solvers.MullerSolver: Construct a solver.
MullerSolver(double, double) - 类的构造器 org.hipparchus.analysis.solvers.MullerSolver: Construct a solver.
MullerSolver2 - org.hipparchus.analysis.solvers中的类: This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver2() - 类的构造器 org.hipparchus.analysis.solvers.MullerSolver2: Construct a solver with default accuracy (1e-6).
MullerSolver2(double) - 类的构造器 org.hipparchus.analysis.solvers.MullerSolver2: Construct a solver.
MullerSolver2(double, double) - 类的构造器 org.hipparchus.analysis.solvers.MullerSolver2: Construct a solver.
MullerSolver2Test - org.hipparchus.analysis.solvers中的类: Test case for Muller solver.
MullerSolver2Test() - 类的构造器 org.hipparchus.analysis.solvers.MullerSolver2Test
MullerSolverTest - org.hipparchus.analysis.solvers中的类: Test case for Muller solver.
MullerSolverTest() - 类的构造器 org.hipparchus.analysis.solvers.MullerSolverTest
MultidimensionalCounter - org.hipparchus.util中的类: Converter between unidimensional storage structure and multidimensional conceptual structure.
MultidimensionalCounter(int...) - 类的构造器 org.hipparchus.util.MultidimensionalCounter: Create a counter.
MultidimensionalCounter.Iterator - org.hipparchus.util中的类: Perform iteration over the multidimensional counter.
MultidimensionalCounterTest - org.hipparchus.util中的类: Test cases for the MultidimensionalCounter class.
MultidimensionalCounterTest() - 类的构造器 org.hipparchus.util.MultidimensionalCounterTest
MultiDimensionMismatchException - org.hipparchus.migration.exception中的异常错误类: 已过时。
as of 1.0, this exception is replaced by MathIllegalArgumentException
MultiDimensionMismatchException(Integer[], Integer[]) - 异常错误类的构造器 org.hipparchus.migration.exception.MultiDimensionMismatchException: 已过时。

Construct an exception from the mismatched dimensions.
MultiDimensionMismatchException(Localizable, Integer[], Integer[]) - 异常错误类的构造器 org.hipparchus.migration.exception.MultiDimensionMismatchException: 已过时。

Construct an exception from the mismatched dimensions.
MultiDirectionalSimplex - org.hipparchus.optim.nonlinear.scalar.noderiv中的类: This class implements the multi-directional direct search method.
MultiDirectionalSimplex(double[]) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex: Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[][]) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex: Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[][], double, double) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex: Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[], double, double) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex: Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(int) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex: Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex: Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double, double) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex: Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(int, double, double, double) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex: Build a multi-directional simplex with specified coefficients.
MultiKMeansPlusPlusClusterer<T> - org.hipparchus.clustering中的类: A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution.
MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int) - 类的构造器 org.hipparchus.clustering.MultiKMeansPlusPlusClusterer: Build a clusterer.
MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int, ClusterEvaluator<T>) - 类的构造器 org.hipparchus.clustering.MultiKMeansPlusPlusClusterer: Build a clusterer.
MultiKMeansPlusPlusClustererTest - org.hipparchus.clustering中的类
MultiKMeansPlusPlusClustererTest() - 类的构造器 org.hipparchus.clustering.MultiKMeansPlusPlusClustererTest
MultipleLinearRegression - org.hipparchus.stat.regression中的接口: The multiple linear regression can be represented in matrix-notation.
MultipleLinearRegressionAbstractTest - org.hipparchus.stat.regression中的类
MultipleLinearRegressionAbstractTest() - 类的构造器 org.hipparchus.stat.regression.MultipleLinearRegressionAbstractTest
MULTIPLES - 枚举类中的枚举常量 org.hipparchus.ode.sampling.StepNormalizerMode: Steps are multiples of a fixed value.
MULTIPLICATIVE - 枚举类中的枚举常量 org.hipparchus.util.ResizableDoubleArray.ExpansionMode: Multiplicative expansion mode.
multiply(double) - 类中的方法 org.hipparchus.analysis.differentiation.DerivativeStructure: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.analysis.differentiation.FieldDerivativeStructure: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.analysis.differentiation.FieldGradient: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.analysis.differentiation.Gradient: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.analysis.differentiation.SparseGradient: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.analysis.differentiation.UnivariateDerivative1: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.analysis.differentiation.UnivariateDerivative2: '×' operator.
multiply(double) - 接口中的方法 org.hipparchus.CalculusFieldElement: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.complex.Complex: Returns a Complex whose value is this * factor, with factor interpreted as a real number.
multiply(double) - 类中的方法 org.hipparchus.complex.FieldComplex: Returns a Complex whose value is this * factor, with factor interpreted as a real number.
multiply(double) - 类中的方法 org.hipparchus.complex.Quaternion: Multiplies the instance by a scalar.
multiply(double) - 类中的方法 org.hipparchus.dfp.Dfp: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.util.Binary64: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.util.FieldTuple: '×' operator.
multiply(double) - 类中的方法 org.hipparchus.util.Tuple: '×' operator.
multiply(double[], int, double[], int, double[], int) - 类中的方法 org.hipparchus.analysis.differentiation.DSCompiler: Perform multiplication of two derivative structures.
multiply(int) - 类中的方法 org.hipparchus.analysis.differentiation.DerivativeStructure: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.analysis.differentiation.FieldDerivativeStructure: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.analysis.differentiation.FieldGradient: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.analysis.differentiation.Gradient: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.analysis.differentiation.SparseGradient: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.analysis.differentiation.UnivariateDerivative1: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.analysis.differentiation.UnivariateDerivative2: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.complex.Complex: Returns a Complex whose value is this * factor, with factor interpreted as a integer number.
multiply(int) - 类中的方法 org.hipparchus.complex.FieldComplex: Returns a Complex whose value is this * factor, with factor interpreted as a integer number.
multiply(int) - 类中的方法 org.hipparchus.dfp.Dfp: Multiply this by a single digit x.
multiply(int) - 接口中的方法 org.hipparchus.FieldElement: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.fraction.BigFraction: Multiply the value of this fraction by the passed int, returning the result in reduced form.
multiply(int) - 类中的方法 org.hipparchus.fraction.Fraction: Multiply the fraction by an integer.
multiply(int) - 类中的方法 org.hipparchus.util.BigReal: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.util.Binary64: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.util.FieldTuple: Compute n × this.
multiply(int) - 类中的方法 org.hipparchus.util.Tuple: Compute n × this.
multiply(long) - 类中的方法 org.hipparchus.fraction.BigFraction: Multiply the value of this fraction by the passed long, returning the result in reduced form.
multiply(BigInteger) - 类中的方法 org.hipparchus.fraction.BigFraction: Multiplies the value of this fraction by the passed BigInteger, returning the result in reduced form.
multiply(DerivativeStructure) - 类中的方法 org.hipparchus.analysis.differentiation.DerivativeStructure: Compute this × a.
multiply(FieldDerivativeStructure<T>) - 类中的方法 org.hipparchus.analysis.differentiation.FieldDerivativeStructure: Compute this × a.
multiply(FieldGradient<T>) - 类中的方法 org.hipparchus.analysis.differentiation.FieldGradient: Compute this × a.
multiply(FieldUnivariateDerivative1<T>) - 类中的方法 org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: Compute this × a.
multiply(FieldUnivariateDerivative2<T>) - 类中的方法 org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: Compute this × a.
multiply(Gradient) - 类中的方法 org.hipparchus.analysis.differentiation.Gradient: Compute this × a.
multiply(SparseGradient) - 类中的方法 org.hipparchus.analysis.differentiation.SparseGradient: Compute this × a.
multiply(UnivariateDerivative1) - 类中的方法 org.hipparchus.analysis.differentiation.UnivariateDerivative1: Compute this × a.
multiply(UnivariateDerivative2) - 类中的方法 org.hipparchus.analysis.differentiation.UnivariateDerivative2: Compute this × a.
multiply(UnivariateDifferentiableFunction...) - 类中的静态方法 org.hipparchus.analysis.FunctionUtils: Multiplies functions.
multiply(FieldPolynomialFunction<T>) - 类中的方法 org.hipparchus.analysis.polynomials.FieldPolynomialFunction: Multiply the instance by a polynomial.
multiply(PolynomialFunction) - 类中的方法 org.hipparchus.analysis.polynomials.PolynomialFunction: Multiply the instance by a polynomial.
multiply(UnivariateFunction...) - 类中的静态方法 org.hipparchus.analysis.FunctionUtils: Multiplies functions.
multiply(Complex) - 类中的方法 org.hipparchus.complex.Complex: Returns a Complex whose value is this * factor.
multiply(FieldComplex<T>) - 类中的方法 org.hipparchus.complex.FieldComplex: Returns a Complex whose value is this * factor.
multiply(Quaternion) - 类中的方法 org.hipparchus.complex.Quaternion: Returns the Hamilton product of the instance by a quaternion.
multiply(Quaternion, Quaternion) - 类中的静态方法 org.hipparchus.complex.Quaternion: Returns the Hamilton product of two quaternions.
multiply(Dfp) - 类中的方法 org.hipparchus.dfp.Dfp: Multiply this by x.
multiply(BigFraction) - 类中的方法 org.hipparchus.fraction.BigFraction: Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(Fraction) - 类中的方法 org.hipparchus.fraction.Fraction: Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(Array2DRowFieldMatrix<T>) - 类中的方法 org.hipparchus.linear.Array2DRowFieldMatrix: Postmultiplying this matrix by m.
multiply(Array2DRowRealMatrix) - 类中的方法 org.hipparchus.linear.Array2DRowRealMatrix: Returns the result of postmultiplying this by m.
multiply(BlockFieldMatrix<T>) - 类中的方法 org.hipparchus.linear.BlockFieldMatrix: Returns the result of postmultiplying this by m.
multiply(BlockRealMatrix) - 类中的方法 org.hipparchus.linear.BlockRealMatrix: Returns the result of postmultiplying this by m.
multiply(DiagonalMatrix) - 类中的方法 org.hipparchus.linear.DiagonalMatrix: Returns the result of postmultiplying this by m.
multiply(FieldMatrix<T>) - 类中的方法 org.hipparchus.linear.AbstractFieldMatrix: Postmultiply this matrix by m.
multiply(FieldMatrix<T>) - 类中的方法 org.hipparchus.linear.BlockFieldMatrix: Postmultiply this matrix by m.
multiply(FieldMatrix<T>) - 接口中的方法 org.hipparchus.linear.FieldMatrix: Postmultiply this matrix by m.
multiply(OpenMapRealMatrix) - 类中的方法 org.hipparchus.linear.OpenMapRealMatrix: Postmultiply this matrix by m.
multiply(RealMatrix) - 类中的方法 org.hipparchus.linear.AbstractRealMatrix: Returns the result of postmultiplying this by m.
multiply(RealMatrix) - 类中的方法 org.hipparchus.linear.BlockRealMatrix: Returns the result of postmultiplying this by m.
multiply(RealMatrix) - 类中的方法 org.hipparchus.linear.DiagonalMatrix: Returns the result of postmultiplying this by m.
multiply(RealMatrix) - 类中的方法 org.hipparchus.linear.OpenMapRealMatrix: Returns the result of postmultiplying this by m.
multiply(RealMatrix) - 接口中的方法 org.hipparchus.linear.RealMatrix: Returns the result of postmultiplying this by m.
multiply(BigReal) - 类中的方法 org.hipparchus.util.BigReal: Compute this × a.
multiply(Binary64) - 类中的方法 org.hipparchus.util.Binary64: Compute this × a.
multiply(FieldTuple<T>) - 类中的方法 org.hipparchus.util.FieldTuple: Compute this × a.
multiply(Tuple) - 类中的方法 org.hipparchus.util.Tuple: Compute this × a.
multiply(T) - 类中的方法 org.hipparchus.analysis.differentiation.FieldDerivativeStructure: '×' operator.
multiply(T) - 类中的方法 org.hipparchus.analysis.differentiation.FieldGradient: '×' operator.
multiply(T) - 类中的方法 org.hipparchus.analysis.differentiation.FieldUnivariateDerivative1: '×' operator.
multiply(T) - 类中的方法 org.hipparchus.analysis.differentiation.FieldUnivariateDerivative2: '×' operator.
multiply(T) - 类中的方法 org.hipparchus.complex.FieldComplex: Returns a Complex whose value is this * factor, with factor interpreted as a real number.
multiply(T) - 接口中的方法 org.hipparchus.FieldElement: Compute this × a.
multiply(T[], int, T[], int, T[], int) - 类中的方法 org.hipparchus.analysis.differentiation.DSCompiler: Perform multiplication of two derivative structures.
Multiply - org.hipparchus.analysis.function中的类: Multiply the two operands.
Multiply() - 类的构造器 org.hipparchus.analysis.function.Multiply: Empty constructor.
multiplyEntry(int, int, double) - 类中的方法 org.hipparchus.linear.AbstractRealMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - 类中的方法 org.hipparchus.linear.Array2DRowRealMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - 类中的方法 org.hipparchus.linear.BlockRealMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - 类中的方法 org.hipparchus.linear.DiagonalMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - 类中的方法 org.hipparchus.linear.OpenMapRealMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - 接口中的方法 org.hipparchus.linear.RealMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, T) - 类中的方法 org.hipparchus.linear.AbstractFieldMatrix: Change an entry in the specified row and column.
multiplyEntry(int, int, T) - 类中的方法 org.hipparchus.linear.Array2DRowFieldMatrix: Change an entry in the specified row and column.
multiplyEntry(int, int, T) - 类中的方法 org.hipparchus.linear.BlockFieldMatrix: Change an entry in the specified row and column.
multiplyEntry(int, int, T) - 接口中的方法 org.hipparchus.linear.FieldMatrix: Change an entry in the specified row and column.
multiplyEntry(int, int, T) - 类中的方法 org.hipparchus.linear.SparseFieldMatrix: Change an entry in the specified row and column.
multiplyExact(int, int) - 类中的静态方法 org.hipparchus.util.FastMath: Multiply two numbers, detecting overflows.
multiplyExact(long, int) - 类中的静态方法 org.hipparchus.util.FastMath: Multiply two numbers, detecting overflows.
multiplyExact(long, long) - 类中的静态方法 org.hipparchus.util.FastMath: Multiply two numbers, detecting overflows.
multiplyFull(int, int) - 类中的静态方法 org.hipparchus.util.FastMath: Multiply two integers and give an exact result without overflow.
multiplyHigh(long, long) - 类中的静态方法 org.hipparchus.util.FastMath: Multiply two long integers and give the 64 most significant bits of the result.
multiplyInPlace(SparseGradient) - 类中的方法 org.hipparchus.analysis.differentiation.SparseGradient: Multiply in place.
multiplyMinusI() - 类中的方法 org.hipparchus.complex.Complex: Compute this *- -i.
multiplyMinusI() - 类中的方法 org.hipparchus.complex.FieldComplex: Compute this *- -i.
multiplyPlusI() - 类中的方法 org.hipparchus.complex.Complex: Compute this * i.
multiplyPlusI() - 类中的方法 org.hipparchus.complex.FieldComplex: Compute this * i.
multiplyTransposed(Array2DRowFieldMatrix<T>) - 类中的方法 org.hipparchus.linear.Array2DRowFieldMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(Array2DRowRealMatrix) - 类中的方法 org.hipparchus.linear.Array2DRowRealMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(BlockFieldMatrix<T>) - 类中的方法 org.hipparchus.linear.BlockFieldMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(BlockRealMatrix) - 类中的方法 org.hipparchus.linear.BlockRealMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(DiagonalMatrix) - 类中的方法 org.hipparchus.linear.DiagonalMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(FieldMatrix<T>) - 类中的方法 org.hipparchus.linear.Array2DRowFieldMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(FieldMatrix<T>) - 类中的方法 org.hipparchus.linear.BlockFieldMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(FieldMatrix<T>) - 接口中的方法 org.hipparchus.linear.FieldMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(FieldMatrix<T>) - 类中的方法 org.hipparchus.linear.SparseFieldMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(RealMatrix) - 类中的方法 org.hipparchus.linear.Array2DRowRealMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(RealMatrix) - 类中的方法 org.hipparchus.linear.BlockRealMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(RealMatrix) - 类中的方法 org.hipparchus.linear.DiagonalMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(RealMatrix) - 类中的方法 org.hipparchus.linear.OpenMapRealMatrix: Returns the result of postmultiplying this by m^T.
multiplyTransposed(RealMatrix) - 接口中的方法 org.hipparchus.linear.RealMatrix: Returns the result of postmultiplying this by m^T.
MultiStartMultivariateOptimizer - org.hipparchus.optim.nonlinear.scalar中的类: Multi-start optimizer.
MultiStartMultivariateOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.MultiStartMultivariateOptimizer: Create a multi-start optimizer from a single-start optimizer.
MultiStartMultivariateOptimizerTest - org.hipparchus.optim.nonlinear.scalar中的类
MultiStartMultivariateOptimizerTest() - 类的构造器 org.hipparchus.optim.nonlinear.scalar.MultiStartMultivariateOptimizerTest
MultiStartUnivariateOptimizer - org.hipparchus.optim.univariate中的类: Special implementation of the UnivariateOptimizer interface adding multi-start features to an existing optimizer.
MultiStartUnivariateOptimizer(UnivariateOptimizer, int, RandomGenerator) - 类的构造器 org.hipparchus.optim.univariate.MultiStartUnivariateOptimizer: Create a multi-start optimizer from a single-start optimizer.
MultiStartUnivariateOptimizerTest - org.hipparchus.optim.univariate中的类
MultiStartUnivariateOptimizerTest() - 类的构造器 org.hipparchus.optim.univariate.MultiStartUnivariateOptimizerTest
MULTISTEP_STARTER_STOPPED_EARLY - 枚举类中的枚举常量 org.hipparchus.migration.exception.util.LocalizedFormats: 已过时。

MULTISTEP_STARTER_STOPPED_EARLY.
MULTISTEP_STARTER_STOPPED_EARLY - 枚举类中的枚举常量 org.hipparchus.ode.LocalizedODEFormats: MULTISTEP_STARTER_STOPPED_EARLY.
MultistepFieldIntegrator<T> - org.hipparchus.ode中的类: This class is the base class for multistep integrators for Ordinary Differential Equations.
MultistepFieldIntegrator(Field<T>, String, int, int, double, double, double[], double[]) - 类的构造器 org.hipparchus.ode.MultistepFieldIntegrator: Build a multistep integrator with the given stepsize bounds.
MultistepFieldIntegrator(Field<T>, String, int, int, double, double, double, double) - 类的构造器 org.hipparchus.ode.MultistepFieldIntegrator: Build a multistep integrator with the given stepsize bounds.
MultistepIntegrator - org.hipparchus.ode中的类: This class is the base class for multistep integrators for Ordinary Differential Equations.
MultistepIntegrator(String, int, int, double, double, double[], double[]) - 类的构造器 org.hipparchus.ode.MultistepIntegrator: Build a multistep integrator with the given stepsize bounds.
MultistepIntegrator(String, int, int, double, double, double, double) - 类的构造器 org.hipparchus.ode.MultistepIntegrator: Build a multistep integrator with the given stepsize bounds.
MultivariateDifferentiableFunction - org.hipparchus.analysis.differentiation中的接口: Extension of MultivariateFunction representing a multivariate differentiable real function.
MultivariateDifferentiableVectorFunction - org.hipparchus.analysis.differentiation中的接口: Extension of MultivariateVectorFunction representing a multivariate differentiable vectorial function.
MultivariateFunction - org.hipparchus.analysis中的接口: An interface representing a multivariate real function.
MultivariateFunctionMappingAdapter - org.hipparchus.optim.nonlinear.scalar中的类: Adapter for mapping bounded MultivariateFunction to unbounded ones.
MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter: Simple constructor.
MultivariateFunctionMappingAdapterTest - org.hipparchus.optim.nonlinear.scalar中的类
MultivariateFunctionMappingAdapterTest() - 类的构造器 org.hipparchus.optim.nonlinear.scalar.MultivariateFunctionMappingAdapterTest
MultivariateFunctionPenaltyAdapter - org.hipparchus.optim.nonlinear.scalar中的类: Adapter extending bounded MultivariateFunction to an unbouded domain using a penalty function.
MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter: Simple constructor.
MultivariateFunctionPenaltyAdapterTest - org.hipparchus.optim.nonlinear.scalar中的类
MultivariateFunctionPenaltyAdapterTest() - 类的构造器 org.hipparchus.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapterTest
MultivariateInterpolator - org.hipparchus.analysis.interpolation中的接口: Interface representing a univariate real interpolating function.
MultivariateJacobianFunction - org.hipparchus.optim.nonlinear.vector.leastsquares中的接口: A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).
MultivariateMatrixFunction - org.hipparchus.analysis中的接口: An interface representing a multivariate matrix function.
MultivariateNormalDistribution - org.hipparchus.distribution.multivariate中的类: Implementation of the multivariate normal (Gaussian) distribution.
MultivariateNormalDistribution(double[], double[][]) - 类的构造器 org.hipparchus.distribution.multivariate.MultivariateNormalDistribution: Creates a multivariate normal distribution with the given mean vector and covariance matrix.
The number of dimensions is equal to the length of the mean vector and to the number of rows and columns of the covariance matrix.
MultivariateNormalDistribution(double[], double[][], double) - 类的构造器 org.hipparchus.distribution.multivariate.MultivariateNormalDistribution: Creates a multivariate normal distribution with the given mean vector and covariance matrix.
The number of dimensions is equal to the length of the mean vector and to the number of rows and columns of the covariance matrix.
MultivariateNormalDistribution(RandomGenerator, double[], double[][]) - 类的构造器 org.hipparchus.distribution.multivariate.MultivariateNormalDistribution: Creates a multivariate normal distribution with the given mean vector and covariance matrix.
MultivariateNormalDistribution(RandomGenerator, double[], double[][], double) - 类的构造器 org.hipparchus.distribution.multivariate.MultivariateNormalDistribution: Creates a multivariate normal distribution with the given mean vector and covariance matrix.
MultivariateNormalDistributionTest - org.hipparchus.distribution.multivariate中的类: Test cases for MultivariateNormalDistribution.
MultivariateNormalDistributionTest() - 类的构造器 org.hipparchus.distribution.multivariate.MultivariateNormalDistributionTest
MultivariateNormalMixtureExpectationMaximization - org.hipparchus.stat.fitting中的类: Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions.
MultivariateNormalMixtureExpectationMaximization(double[][]) - 类的构造器 org.hipparchus.stat.fitting.MultivariateNormalMixtureExpectationMaximization: Creates an object to fit a multivariate normal mixture model to data.
MultivariateNormalMixtureExpectationMaximizationTest - org.hipparchus.stat.fitting中的类: Test that demonstrates the use of MultivariateNormalMixtureExpectationMaximization.
MultivariateNormalMixtureExpectationMaximizationTest() - 类的构造器 org.hipparchus.stat.fitting.MultivariateNormalMixtureExpectationMaximizationTest
MultivariateNormalMixtureModelDistributionTest - org.hipparchus.distribution.multivariate中的类: Test that demonstrates the use of MixtureMultivariateRealDistribution in order to create a mixture model composed of normal distributions.
MultivariateNormalMixtureModelDistributionTest() - 类的构造器 org.hipparchus.distribution.multivariate.MultivariateNormalMixtureModelDistributionTest
MultivariateOptimizer - org.hipparchus.optim.nonlinear.scalar中的类: Base class for a multivariate scalar function optimizer.
MultivariateOptimizer(ConvergenceChecker<PointValuePair>) - 类的构造器 org.hipparchus.optim.nonlinear.scalar.MultivariateOptimizer: Simple constructor.
MultivariateRealDistribution - org.hipparchus.distribution中的接口: Base interface for multivariate continuous distributions.
MultivariateSummaryStatistics - org.hipparchus.stat.descriptive中的类: Computes summary statistics for a stream of n-tuples added using the addValue method.
MultivariateSummaryStatistics(int) - 类的构造器 org.hipparchus.stat.descriptive.MultivariateSummaryStatistics: Construct a MultivariateSummaryStatistics instance for the given dimension.
MultivariateSummaryStatistics(int, boolean) - 类的构造器 org.hipparchus.stat.descriptive.MultivariateSummaryStatistics: Construct a MultivariateSummaryStatistics instance for the given dimension.
MultivariateSummaryStatisticsTest - org.hipparchus.stat.descriptive中的类: Test cases for the MultivariateSummaryStatistics class.
MultivariateSummaryStatisticsTest() - 类的构造器 org.hipparchus.stat.descriptive.MultivariateSummaryStatisticsTest
MultivariateVectorFunction - org.hipparchus.analysis中的接口: An interface representing a multivariate vectorial function.

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