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@ -446,7 +446,7 @@ namespace MathNet.Numerics.LinearAlgebra |
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public abstract Matrix<T> Random(int rows, int columns, IContinuousDistribution distribution); |
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/// <summary>
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/// Create a new dense matrix with values sampled from the standard distribution with a mersenne twister random source.
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/// Create a new dense matrix with values sampled from the standard distribution with a system random source.
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/// </summary>
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public Matrix<T> Random(int rows, int columns) |
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{ |
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@ -454,7 +454,7 @@ namespace MathNet.Numerics.LinearAlgebra |
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} |
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/// <summary>
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/// Create a new dense matrix with values sampled from the standard distribution with a mersenne twister random source.
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/// Create a new dense matrix with values sampled from the standard distribution with a system random source.
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/// </summary>
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public Matrix<T> Random(int rows, int columns, int seed) |
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{ |
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@ -473,7 +473,7 @@ namespace MathNet.Numerics.LinearAlgebra |
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/// <summary>
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/// Create a new positive definite dense matrix where each value is the product
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/// of two samples from the standard distribution with a mersenne twister random source.
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/// of two samples from the standard distribution.
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/// </summary>
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public Matrix<T> RandomPositiveDefinite(int order) |
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{ |
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@ -1399,7 +1399,7 @@ namespace MathNet.Numerics.LinearAlgebra |
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public abstract Vector<T> Random(int length, IContinuousDistribution distribution); |
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/// <summary>
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/// Create a new dense vector with values sampled from the standard distribution with a mersenne twister random source.
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/// Create a new dense vector with values sampled from the standard distribution with a system random source.
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/// </summary>
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public Vector<T> Random(int length) |
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{ |
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