Package | Description |
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fr.cnes.sirius.patrius.math.random |
Random number and random data generators.
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Modifier and Type | Class and Description |
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class |
GaussianRandomGenerator
This class is a gaussian normalized random generator for scalars.
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class |
StableRandomGenerator
This class provides a stable normalized random generator.
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class |
UniformRandomGenerator
This class implements a normalized uniform random generator.
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Modifier and Type | Method and Description |
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NormalizedRandomGenerator |
CorrelatedRandomVectorGenerator.getGenerator()
Get the underlying normalized components generator.
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NormalizedRandomGenerator |
UniformlyCorrelatedRandomVectorGenerator.getGenerator()
Get the underlying normalized components generator.
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Constructor and Description |
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CorrelatedRandomVectorGenerator(double[] meanIn,
RealMatrix covariance,
double small,
NormalizedRandomGenerator generatorIn)
Builds a correlated random vector generator from its mean
vector and covariance matrix.
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CorrelatedRandomVectorGenerator(RealMatrix covariance,
double small,
NormalizedRandomGenerator generatorIn)
Builds a null mean random correlated vector generator from its
covariance matrix.
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UncorrelatedRandomVectorGenerator(double[] meanIn,
double[] standardDeviationIn,
NormalizedRandomGenerator generatorIn)
Simple constructor.
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UncorrelatedRandomVectorGenerator(int dimension,
NormalizedRandomGenerator generatorIn)
Simple constructor.
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UniformlyCorrelatedRandomVectorGenerator(double[] aMean,
RealMatrix covariance,
double small,
NormalizedRandomGenerator aGenerator)
Builds a correlated random vector generator from its mean vector and covariance matrix.
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UniformlyCorrelatedRandomVectorGenerator(RealMatrix covariance,
double small,
NormalizedRandomGenerator aGenerator)
Builds a null mean random correlated vector generator from its covariance matrix.
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