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Math.NET Numerics: 4.13.0 api update

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Christoph Ruegg 5 years ago
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372 changed files with 4566 additions and 383 deletions
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  1. 5
      api/MathNet.Numerics.Differentiation/FiniteDifferenceCoefficients.htm
  2. 5
      api/MathNet.Numerics.Differentiation/NumericalDerivative.htm
  3. 5
      api/MathNet.Numerics.Differentiation/NumericalHessian.htm
  4. 5
      api/MathNet.Numerics.Differentiation/NumericalJacobian.htm
  5. 5
      api/MathNet.Numerics.Differentiation/StepType.htm
  6. 5
      api/MathNet.Numerics.Differentiation/index.htm
  7. 5
      api/MathNet.Numerics.Distributions/Bernoulli.htm
  8. 5
      api/MathNet.Numerics.Distributions/Beta.htm
  9. 5
      api/MathNet.Numerics.Distributions/BetaBinomial.htm
  10. 5
      api/MathNet.Numerics.Distributions/BetaScaled.htm
  11. 5
      api/MathNet.Numerics.Distributions/Binomial.htm
  12. 5
      api/MathNet.Numerics.Distributions/Burr.htm
  13. 5
      api/MathNet.Numerics.Distributions/Categorical.htm
  14. 5
      api/MathNet.Numerics.Distributions/Cauchy.htm
  15. 5
      api/MathNet.Numerics.Distributions/Chi.htm
  16. 5
      api/MathNet.Numerics.Distributions/ChiSquared.htm
  17. 5
      api/MathNet.Numerics.Distributions/ContinuousUniform.htm
  18. 5
      api/MathNet.Numerics.Distributions/ConwayMaxwellPoisson.htm
  19. 5
      api/MathNet.Numerics.Distributions/Dirichlet.htm
  20. 5
      api/MathNet.Numerics.Distributions/DiscreteUniform.htm
  21. 5
      api/MathNet.Numerics.Distributions/Erlang.htm
  22. 5
      api/MathNet.Numerics.Distributions/Exponential.htm
  23. 5
      api/MathNet.Numerics.Distributions/FisherSnedecor.htm
  24. 5
      api/MathNet.Numerics.Distributions/Gamma.htm
  25. 5
      api/MathNet.Numerics.Distributions/Geometric.htm
  26. 5
      api/MathNet.Numerics.Distributions/Hypergeometric.htm
  27. 5
      api/MathNet.Numerics.Distributions/IContinuousDistribution.htm
  28. 5
      api/MathNet.Numerics.Distributions/IDiscreteDistribution.htm
  29. 5
      api/MathNet.Numerics.Distributions/IDistribution.htm
  30. 5
      api/MathNet.Numerics.Distributions/IUnivariateDistribution.htm
  31. 5
      api/MathNet.Numerics.Distributions/InverseGamma.htm
  32. 5
      api/MathNet.Numerics.Distributions/InverseGaussian.htm
  33. 5
      api/MathNet.Numerics.Distributions/InverseWishart.htm
  34. 5
      api/MathNet.Numerics.Distributions/Laplace.htm
  35. 5
      api/MathNet.Numerics.Distributions/LogNormal.htm
  36. 5
      api/MathNet.Numerics.Distributions/MatrixNormal.htm
  37. 5
      api/MathNet.Numerics.Distributions/MeanPrecisionPair.htm
  38. 5
      api/MathNet.Numerics.Distributions/Multinomial.htm
  39. 5
      api/MathNet.Numerics.Distributions/NegativeBinomial.htm
  40. 5
      api/MathNet.Numerics.Distributions/Normal.htm
  41. 5
      api/MathNet.Numerics.Distributions/NormalGamma.htm
  42. 5
      api/MathNet.Numerics.Distributions/Pareto.htm
  43. 5
      api/MathNet.Numerics.Distributions/Poisson.htm
  44. 5
      api/MathNet.Numerics.Distributions/Rayleigh.htm
  45. 5
      api/MathNet.Numerics.Distributions/SkewedGeneralizedError.htm
  46. 5
      api/MathNet.Numerics.Distributions/SkewedGeneralizedT.htm
  47. 5
      api/MathNet.Numerics.Distributions/Stable.htm
  48. 5
      api/MathNet.Numerics.Distributions/StudentT.htm
  49. 5
      api/MathNet.Numerics.Distributions/Triangular.htm
  50. 5
      api/MathNet.Numerics.Distributions/TruncatedPareto.htm
  51. 5
      api/MathNet.Numerics.Distributions/Weibull.htm
  52. 5
      api/MathNet.Numerics.Distributions/Wishart.htm
  53. 5
      api/MathNet.Numerics.Distributions/Zipf.htm
  54. 5
      api/MathNet.Numerics.Distributions/index.htm
  55. 5
      api/MathNet.Numerics.Financial/AbsoluteReturnMeasures.htm
  56. 5
      api/MathNet.Numerics.Financial/AbsoluteRiskMeasures.htm
  57. 5
      api/MathNet.Numerics.Financial/index.htm
  58. 5
      api/MathNet.Numerics.IntegralTransforms/Fourier.htm
  59. 5
      api/MathNet.Numerics.IntegralTransforms/FourierOptions.htm
  60. 5
      api/MathNet.Numerics.IntegralTransforms/Hartley.htm
  61. 5
      api/MathNet.Numerics.IntegralTransforms/HartleyOptions.htm
  62. 5
      api/MathNet.Numerics.IntegralTransforms/index.htm
  63. 5
      api/MathNet.Numerics.Integration/DoubleExponentialTransformation.htm
  64. 5
      api/MathNet.Numerics.Integration/GaussKronrodRule.htm
  65. 5
      api/MathNet.Numerics.Integration/GaussLegendreRule.htm
  66. 5
      api/MathNet.Numerics.Integration/NewtonCotesTrapeziumRule.htm
  67. 5
      api/MathNet.Numerics.Integration/SimpsonRule.htm
  68. 5
      api/MathNet.Numerics.Integration/index.htm
  69. 5
      api/MathNet.Numerics.Interpolation/Barycentric.htm
  70. 5
      api/MathNet.Numerics.Interpolation/BulirschStoerRationalInterpolation.htm
  71. 5
      api/MathNet.Numerics.Interpolation/CubicSpline.htm
  72. 5
      api/MathNet.Numerics.Interpolation/IInterpolation.htm
  73. 5
      api/MathNet.Numerics.Interpolation/LinearSpline.htm
  74. 5
      api/MathNet.Numerics.Interpolation/LogLinear.htm
  75. 5
      api/MathNet.Numerics.Interpolation/NevillePolynomialInterpolation.htm
  76. 5
      api/MathNet.Numerics.Interpolation/QuadraticSpline.htm
  77. 5
      api/MathNet.Numerics.Interpolation/SplineBoundaryCondition.htm
  78. 5
      api/MathNet.Numerics.Interpolation/StepInterpolation.htm
  79. 5
      api/MathNet.Numerics.Interpolation/TransformedInterpolation.htm
  80. 5
      api/MathNet.Numerics.Interpolation/index.htm
  81. 5
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/BiCgStab.htm
  82. 5
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/CompositeSolver.htm
  83. 5
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/DiagonalPreconditioner.htm
  84. 5
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/GpBiCg.htm
  85. 5
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/ILU0Preconditioner.htm
  86. 5
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/ILUTPPreconditioner.htm
  87. 5
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/MILU0Preconditioner.htm
  88. 5
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/MlkBiCgStab.htm
  89. 5
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/TFQMR.htm
  90. 5
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/index.htm
  91. 5
      api/MathNet.Numerics.LinearAlgebra.Complex/DenseMatrix.htm
  92. 5
      api/MathNet.Numerics.LinearAlgebra.Complex/DenseVector.htm
  93. 5
      api/MathNet.Numerics.LinearAlgebra.Complex/DiagonalMatrix.htm
  94. 5
      api/MathNet.Numerics.LinearAlgebra.Complex/Matrix.htm
  95. 5
      api/MathNet.Numerics.LinearAlgebra.Complex/SparseMatrix.htm
  96. 5
      api/MathNet.Numerics.LinearAlgebra.Complex/SparseVector.htm
  97. 5
      api/MathNet.Numerics.LinearAlgebra.Complex/Vector.htm
  98. 5
      api/MathNet.Numerics.LinearAlgebra.Complex/index.htm
  99. 5
      api/MathNet.Numerics.LinearAlgebra.Complex32.Solvers/BiCgStab.htm
  100. 5
      api/MathNet.Numerics.LinearAlgebra.Complex32.Solvers/CompositeSolver.htm

5
api/MathNet.Numerics.Differentiation/FiniteDifferenceCoefficients.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -283,7 +286,7 @@
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

5
api/MathNet.Numerics.Differentiation/NumericalDerivative.htm
View File

@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -537,7 +540,7 @@ h is approximately equal to the square-root of machine accuracy, epsilon.
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

5
api/MathNet.Numerics.Differentiation/NumericalHessian.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -311,7 +314,7 @@ The function mirrors the Hessian along the diagonal since d2f/dxdy = d2f/dydx fo
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

5
api/MathNet.Numerics.Differentiation/NumericalJacobian.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -360,7 +363,7 @@ added efficiency. This method also assumes that the length of vector x consisten
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

5
api/MathNet.Numerics.Differentiation/StepType.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -335,7 +338,7 @@ input parameter. Although implementation may vary, an example of second order ac
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

5
api/MathNet.Numerics.Differentiation/index.htm
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@ -104,6 +104,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -156,7 +159,7 @@
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

5
api/MathNet.Numerics.Distributions/Bernoulli.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -797,7 +800,7 @@ p specifies the probability that a 1 is generated..
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

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api/MathNet.Numerics.Distributions/Beta.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -879,7 +882,7 @@ at the given probability. This is also known as the quantile or percent point fu
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

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api/MathNet.Numerics.Distributions/BetaBinomial.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -793,7 +796,7 @@ It is frequently used in Bayesian statistics, empirical Bayes methods and classi
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

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api/MathNet.Numerics.Distributions/BetaScaled.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -963,7 +966,7 @@ at the given probability. This is also known as the quantile or percent point fu
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

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api/MathNet.Numerics.Distributions/Binomial.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -829,7 +832,7 @@ For details about this distribution, see. <blockquote class="remarks">
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</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

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api/MathNet.Numerics.Distributions/Burr.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -773,7 +776,7 @@
</div>
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<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

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api/MathNet.Numerics.Distributions/Categorical.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -1056,7 +1059,7 @@ at the given probability.
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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</body>

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api/MathNet.Numerics.Distributions/Cauchy.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -878,7 +881,7 @@ at the given probability. This is also known as the quantile or percent point fu
</div>
</div>
<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

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api/MathNet.Numerics.Distributions/Chi.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -791,7 +794,7 @@ then have a chi distribution..
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<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

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api/MathNet.Numerics.Distributions/ChiSquared.htm
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@ -105,6 +105,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
</li>
<li>
<a href="../MathNet.Numerics.Random/index.htm">MathNet.Numerics.Random</a>
@ -835,7 +838,7 @@ at the given probability. This is also known as the quantile or percent point fu
</div>
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<div id="footer">
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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api/MathNet.Numerics.Distributions/ContinuousUniform.htm
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</li>
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@ -878,7 +881,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -790,7 +793,7 @@ distributions. It is parameterized by two real numbers "lambda" and "nu". For <d
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@ -569,7 +572,7 @@ You can also leave out the last <var>x</var> component, and it will be compute
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@ -821,7 +824,7 @@ is parameterized by a lower and upper bound (both inclusive)..
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@ -870,7 +873,7 @@ be initialized with the default random number generator.
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@ -806,7 +809,7 @@ No closed form analytical expression exists, so this value is approximated numer
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@ -526,7 +529,7 @@ a Wishart random variable and inverting the matrix.
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@ -514,7 +517,7 @@ for the columns (K). If the dimension of M is d-by-m then V is d-by-d and K is m
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@ -376,7 +379,7 @@ is defined.
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@ -607,7 +610,7 @@ as this is often impossible using floating point arithmetic. </p>
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@ -870,7 +873,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -794,7 +797,7 @@
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@ -838,7 +841,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -800,7 +803,7 @@ with location=0.0, scale=1.0, skew=0.0 and p=2.0 (a standard normal distribution
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@ -949,7 +952,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -895,7 +898,7 @@ For details about this distribution, see.
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@ -898,7 +901,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -821,7 +824,7 @@
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@ -837,7 +840,7 @@ For details about this distribution, see. <blockquote class="remarks">
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@ -527,7 +530,7 @@ Applied Statistics, Vol. 21, No. 3 (1972), pp. 341-345
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@ -793,7 +796,7 @@ For details about this distribution, see.
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@ -327,7 +330,7 @@
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@ -193,7 +196,7 @@ and then dividing the total by the number of loss periods. <blockquote class="re
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@ -216,7 +219,7 @@ looks at periods where the investment return was less than average return.
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@ -144,7 +147,7 @@
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@ -981,7 +984,7 @@ The data array needs to be N+2 (if N is even) or N+1 (if N is odd) long in order
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@ -221,7 +224,7 @@ or derivative discontinuities and no poles inside the interval.
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