• Extreme Optimization
  • Features
  • Solutions
  • Documentation
  • QuickStart Samples
  • Sample Applications
  • Downloads
  • Technical Support
  • Download trial
  • How to buy
  • Blog
  • Company
  • Resources
• Documentation
  • Introduction
  • Deployment Guide
  • Configuration
  • Using Parallelism
  • Mathematics Library User's Guide
  • Vector and Matrix Library User's Guide
  • Data Analysis Library User's Guide
  • Statistics Library User's Guide
  • Data Access Library User's Guide
  • Reference
• Reference
  • Extreme
  • Extreme.Collections
  • Extreme.Data
  • Extreme.Data.Json
  • Extreme.Data.Matlab
  • Extreme.Data.R
  • Extreme.Data.Stata
  • Extreme.Data.Text
  • Extreme.DataAnalysis
  • Extreme.DataAnalysis.Linq
  • Extreme.Mathematics
  • Extreme.Mathematics.Algorithms
  • Extreme.Mathematics.Calculus
  • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
  • Extreme.Mathematics.Curves
  • Extreme.Mathematics.Curves.Nonlinear
  • Extreme.Mathematics.Distributed
  • Extreme.Mathematics.Distributed.Cuda
  • Extreme.Mathematics.EquationSolvers
  • Extreme.Mathematics.FSharp
  • Extreme.Mathematics.Generic
  • Extreme.Mathematics.Generic.LinearAlgebra
  • Extreme.Mathematics.Generic.LinearAlgebra.Implementation
  • Extreme.Mathematics.Generic.LinearAlgebra.Providers
  • Extreme.Mathematics.Generic.SignalProcessing
  • Extreme.Mathematics.Implementation
  • Extreme.Mathematics.LinearAlgebra
  • Extreme.Mathematics.LinearAlgebra.Complex
  • Extreme.Mathematics.LinearAlgebra.Complex.Decompositions
  • Extreme.Mathematics.LinearAlgebra.Implementation
  • Extreme.Mathematics.LinearAlgebra.IO
  • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
  • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
  • Extreme.Mathematics.LinearAlgebra.Providers
  • Extreme.Mathematics.LinearAlgebra.Sparse
  • Extreme.Mathematics.Optimization
  • Extreme.Mathematics.Optimization.Genetic
  • Extreme.Mathematics.Optimization.LineSearches
  • Extreme.Mathematics.Random
  • Extreme.Mathematics.SignalProcessing
  • Extreme.Numerics.FSharp
  • Extreme.Statistics
  • Extreme.Statistics.Distributions
  • Extreme.Statistics.IO
  • Extreme.Statistics.Linq
  • Extreme.Statistics.Multivariate
  • Extreme.Statistics.Random
  • Extreme.Statistics.Tests
  • Extreme.Statistics.TimeSeriesAnalysis
• Extreme.Statistics.Distributions
  • BernoulliDistribution Class
  • BetaDistribution Class
  • BinomialDistribution Class
  • CauchyDistribution Class
  • ChiSquareDistribution Class
  • ContinuousDistribution Class
  • ContinuousUniformDistribution Class
  • DirichletDistribution Class
  • DiscreteDistribution Class
  • DiscreteUniformDistribution Class
  • Distribution Class
  • ErlangDistribution Class
  • EstimationMethod Enumeration
  • ExponentialDistribution Class
  • FDistribution Class
  • GammaDistribution Class
  • GaussianMixtureDistribution Class
  • GeneralizedParetoDistribution Class
  • GenericDiscreteDistribution Class
  • GeometricDistribution Class
  • GumbelDistribution Class
  • HyperbolicDistribution Class
  • HypergeometricDistribution Class
  • InverseChiSquareDistribution Class
  • InverseGammaDistribution Class
  • InverseGaussianDistribution Class
  • InverseWeibullDistribution Class
  • LaplaceDistribution Class
  • LogarithmicSeriesDistribution Class
  • LogisticDistribution Class
  • LogLogisticDistribution Class
  • LognormalDistribution Class
  • MaxwellDistribution Class
  • MultivariateContinuousDistribution Class
  • MultivariateNormalDistribution Class
  • NegativeBinomialDistribution Class
  • NonCentralBetaDistribution Class
  • NonCentralChiSquareDistribution Class
  • NonCentralFDistribution Class
  • NonCentralStudentTDistribution Class
  • NormalDistribution Class
  • NormalInverseGaussianDistribution Class
  • ParetoDistribution Class
  • ParetoDistributionVariant Enumeration
  • PiecewiseDistribution Class
  • PoissonDistribution Class
  • RandomExtensions Class
  • RayleighDistribution Class
  • StudentTDistribution Class
  • TransformedBetaDistribution Class
  • TransformedGammaDistribution Class
  • TriangularDistribution Class
  • TruncatedDistribution Class
  • WeibullDistribution Class
  • WishartDistribution Class
• WishartDistribution Class
  • WishartDistribution Constructors
  • Properties
  • Methods
• Methods
  • FillRandomVariate Method Overloads
  • FillSample Method Overloads
  • GetMeans Method
  • GetRandomVariate Method
  • GetVariances Method
  • Sample Method
• FillSample Method Overloads
  • FillSample Method (Random, SymmetricMatrix(Double))
  • FillSample Method (Random, SymmetricMatrix)

WishartDistributionFillSample Method

Extreme Optimization Numerical Libraries for .NET Professional

Overload List

---

	Name	Description
	FillSample(Random, SymmetricMatrixDouble)	Fills a symmetric matrix with a random sample from the distribution.
	FillSample(Random, SymmetricMatrix)	Fills a symmetric matrix with a random sample from the distribution.

Top

See Also

---

Reference

WishartDistribution Class

Extreme.Statistics.Distributions Namespace

Copyright © 2004-2018, Extreme Optimization. All rights reserved.
Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, Visual C#, Visual Basic, Visual Studio, Visual Studio.NET, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.