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Math.NET Numerics: 4.8.1 api update

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

2
api/MathNet.Numerics.Differentiation/FiniteDifferenceCoefficients.htm

@ -286,7 +286,7 @@
</div>
</div>
<div id="footer">
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Differentiation/NumericalDerivative.htm

@ -540,7 +540,7 @@ h is approximately equal to the square-root of machine accuracy, epsilon.
</div>
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<div id="footer">
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Differentiation/NumericalHessian.htm

@ -314,7 +314,7 @@ The function mirrors the Hessian along the diagonal since d2f/dxdy = d2f/dydx fo
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<div id="footer">
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Differentiation/NumericalJacobian.htm

@ -363,7 +363,7 @@ added efficiency. This method also assumes that the length of vector x consisten
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Differentiation/StepType.htm

@ -338,7 +338,7 @@ input parameter. Although implementation may vary, an example of second order ac
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<div id="footer">
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Differentiation/index.htm

@ -159,7 +159,7 @@
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Bernoulli.htm

@ -782,7 +782,7 @@ p specifies the probability that a 1 is generated..
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Beta.htm

@ -864,7 +864,7 @@ at the given probability. This is also known as the quantile or percent point fu
</div>
</div>
<div id="footer">
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/BetaScaled.htm

@ -948,7 +948,7 @@ at the given probability. This is also known as the quantile or percent point fu
</div>
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Binomial.htm

@ -814,7 +814,7 @@ For details about this distribution, see. <blockquote class="remarks">
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Categorical.htm

@ -1041,7 +1041,7 @@ at the given probability.
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Cauchy.htm

@ -863,7 +863,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Chi.htm

@ -776,7 +776,7 @@ then have a chi distribution..
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2
api/MathNet.Numerics.Distributions/ChiSquared.htm

@ -820,7 +820,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/ContinuousUniform.htm

@ -863,7 +863,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/ConwayMaxwellPoisson.htm

@ -775,7 +775,7 @@ distributions. It is parameterized by two real numbers "lambda" and "nu". For <d
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Dirichlet.htm

@ -554,7 +554,7 @@ You can also leave out the last <var>x</var> component, and it will be compute
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/DiscreteUniform.htm

@ -806,7 +806,7 @@ is parameterized by a lower and upper bound (both inclusive)..
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Erlang.htm

@ -855,7 +855,7 @@ be initialized with the default random number generator.
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2
api/MathNet.Numerics.Distributions/Exponential.htm

@ -820,7 +820,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/FisherSnedecor.htm

@ -857,7 +857,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Gamma.htm

@ -910,7 +910,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.1.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Geometric.htm

@ -747,7 +747,7 @@ This implementation of the Geometric distribution will never generate 0's..
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2
api/MathNet.Numerics.Distributions/Hypergeometric.htm

@ -808,7 +808,7 @@ describes the number of successes for draws with replacement.
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2
api/MathNet.Numerics.Distributions/IContinuousDistribution.htm

@ -386,7 +386,7 @@
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2
api/MathNet.Numerics.Distributions/IDiscreteDistribution.htm

@ -386,7 +386,7 @@
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2
api/MathNet.Numerics.Distributions/IDistribution.htm

@ -284,7 +284,7 @@
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2
api/MathNet.Numerics.Distributions/IUnivariateDistribution.htm

@ -346,7 +346,7 @@
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2
api/MathNet.Numerics.Distributions/InverseGamma.htm

@ -808,7 +808,7 @@ two positive parameters..
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2
api/MathNet.Numerics.Distributions/InverseWishart.htm

@ -511,7 +511,7 @@ a Wishart random variable and inverting the matrix.
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2
api/MathNet.Numerics.Distributions/Laplace.htm

@ -817,7 +817,7 @@ p(x) = \frac{1}{2 * scale} \exp{- |x - mean| / scale}..
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2
api/MathNet.Numerics.Distributions/LogNormal.htm

@ -936,7 +936,7 @@ at the given probability. This is also known as the quantile or percent point fu
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2
api/MathNet.Numerics.Distributions/MatrixNormal.htm

@ -499,7 +499,7 @@ 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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@ -361,7 +361,7 @@ is defined.
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@ -592,7 +592,7 @@ as this is often impossible using floating point arithmetic. </p>
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@ -777,7 +777,7 @@ when the probability of success is p..
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@ -984,7 +984,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -669,7 +669,7 @@ will be positive infinity. A completely degenerate NormalGamma distribution with
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@ -855,7 +855,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -823,7 +823,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -880,7 +880,7 @@ For details about this distribution, see.
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@ -915,7 +915,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -883,7 +883,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -822,7 +822,7 @@ For details about this distribution, see. <blockquote class="remarks">
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@ -512,7 +512,7 @@ Applied Statistics, Vol. 21, No. 3 (1972), pp. 341-345
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@ -778,7 +778,7 @@ For details about this distribution, see.
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@ -306,7 +306,7 @@
</ul>
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@ -196,7 +196,7 @@ and then dividing the total by the number of loss periods. <blockquote class="re
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@ -219,7 +219,7 @@ looks at periods where the investment return was less than average return.
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@ -147,7 +147,7 @@
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@ -984,7 +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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@ -194,7 +194,7 @@ or derivative discontinuities and no poles inside the interval.
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@ -278,7 +278,7 @@
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@ -218,7 +218,7 @@
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@ -155,7 +155,7 @@
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@ -443,7 +443,7 @@ The values are assumed to be sorted ascendingly by x.
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@ -310,7 +310,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered.
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@ -492,7 +492,7 @@ and zero second derivatives at the two boundaries, sorted ascendingly by x.
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@ -388,7 +388,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered.
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@ -352,7 +352,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered and m
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@ -354,7 +354,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered.
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@ -354,7 +354,7 @@
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@ -302,7 +302,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered and m
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@ -186,7 +186,7 @@
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@ -271,7 +271,7 @@ solution vector and x is the unknown vector.
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@ -265,7 +265,7 @@ solution vector and x is the unknown vector.
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@ -272,7 +272,7 @@ of the matrix diagonal as preconditioning values.
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@ -291,7 +291,7 @@ before switching over to the <code>BiCgStab</code> algorithm.
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@ -273,7 +273,7 @@
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@ -384,7 +384,7 @@ the preconditioner. </p>
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@ -298,7 +298,7 @@
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@ -299,7 +299,7 @@ Krylov sub-space.
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@ -265,7 +265,7 @@ solution vector and x is the unknown vector.
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@ -175,7 +175,7 @@
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@ -4601,7 +4601,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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api/MathNet.Numerics.LinearAlgebra.Complex/DenseVector.htm

@ -2637,7 +2637,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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@ -4400,7 +4400,7 @@ The format string is ignored.
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@ -4237,7 +4237,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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@ -4584,7 +4584,7 @@ The format string is ignored.
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@ -2605,7 +2605,7 @@ The format string is ignored.
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@ -2458,7 +2458,7 @@ The format string is ignored.
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@ -167,7 +167,7 @@
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api/MathNet.Numerics.LinearAlgebra.Complex32.Solvers/BiCgStab.htm

@ -271,7 +271,7 @@ solution vector and x is the unknown vector.
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@ -265,7 +265,7 @@ solution vector and x is the unknown vector.
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@ -272,7 +272,7 @@ of the matrix diagonal as preconditioning values.
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@ -291,7 +291,7 @@ before switching over to the <code>BiCgStab</code> algorithm.
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@ -273,7 +273,7 @@
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@ -384,7 +384,7 @@ the preconditioner. </p>
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@ -298,7 +298,7 @@
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@ -299,7 +299,7 @@ Krylov sub-space.
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@ -265,7 +265,7 @@ solution vector and x is the unknown vector.
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