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Numerics: 4.8.0-beta01 api update

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Christoph Ruegg 7 years ago
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73482462e5
  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

@ -283,7 +283,7 @@
</div>
</div>
<div id="footer">
<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Differentiation/NumericalDerivative.htm

@ -537,7 +537,7 @@ h is approximately equal to the square-root of machine accuracy, epsilon.
</div>
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<div id="footer">
<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Differentiation/NumericalHessian.htm

@ -311,7 +311,7 @@ The function mirrors the Hessian along the diagonal since d2f/dxdy = d2f/dydx fo
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<div id="footer">
<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<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

@ -360,7 +360,7 @@ added efficiency. This method also assumes that the length of vector x consisten
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<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

@ -335,7 +335,7 @@ input parameter. Although implementation may vary, an example of second order ac
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<div id="footer">
<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Differentiation/index.htm

@ -156,7 +156,7 @@
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Bernoulli.htm

@ -779,7 +779,7 @@ p specifies the probability that a 1 is generated..
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<div id="footer">
<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Beta.htm

@ -861,7 +861,7 @@ at the given probability. This is also known as the quantile or percent point fu
</div>
</div>
<div id="footer">
<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

2
api/MathNet.Numerics.Distributions/BetaScaled.htm

@ -945,7 +945,7 @@ at the given probability. This is also known as the quantile or percent point fu
</div>
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Binomial.htm

@ -811,7 +811,7 @@ For details about this distribution, see. <blockquote class="remarks">
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Categorical.htm

@ -1038,7 +1038,7 @@ at the given probability.
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Cauchy.htm

@ -860,7 +860,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Chi.htm

@ -773,7 +773,7 @@ then have a chi distribution..
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2
api/MathNet.Numerics.Distributions/ChiSquared.htm

@ -817,7 +817,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/ContinuousUniform.htm

@ -860,7 +860,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/ConwayMaxwellPoisson.htm

@ -772,7 +772,7 @@ distributions. It is parameterized by two real numbers "lambda" and "nu". For <d
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Dirichlet.htm

@ -551,7 +551,7 @@ You can also leave out the last <var>x</var> component, and it will be compute
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/DiscreteUniform.htm

@ -803,7 +803,7 @@ is parameterized by a lower and upper bound (both inclusive)..
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Erlang.htm

@ -852,7 +852,7 @@ be initialized with the default random number generator.
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Exponential.htm

@ -817,7 +817,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/FisherSnedecor.htm

@ -854,7 +854,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Gamma.htm

@ -907,7 +907,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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2
api/MathNet.Numerics.Distributions/Geometric.htm

@ -744,7 +744,7 @@ This implementation of the Geometric distribution will never generate 0's..
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.8.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Hypergeometric.htm

@ -805,7 +805,7 @@ describes the number of successes for draws with replacement.
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/IContinuousDistribution.htm

@ -383,7 +383,7 @@
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2
api/MathNet.Numerics.Distributions/IDiscreteDistribution.htm

@ -383,7 +383,7 @@
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2
api/MathNet.Numerics.Distributions/IDistribution.htm

@ -281,7 +281,7 @@
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2
api/MathNet.Numerics.Distributions/IUnivariateDistribution.htm

@ -343,7 +343,7 @@
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2
api/MathNet.Numerics.Distributions/InverseGamma.htm

@ -805,7 +805,7 @@ two positive parameters..
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2
api/MathNet.Numerics.Distributions/InverseWishart.htm

@ -508,7 +508,7 @@ a Wishart random variable and inverting the matrix.
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2
api/MathNet.Numerics.Distributions/Laplace.htm

@ -814,7 +814,7 @@ p(x) = \frac{1}{2 * scale} \exp{- |x - mean| / scale}..
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2
api/MathNet.Numerics.Distributions/LogNormal.htm

@ -933,7 +933,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.7.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/MatrixNormal.htm

@ -496,7 +496,7 @@ 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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@ -358,7 +358,7 @@ is defined.
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@ -589,7 +589,7 @@ as this is often impossible using floating point arithmetic. </p>
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@ -774,7 +774,7 @@ when the probability of success is p..
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@ -981,7 +981,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -666,7 +666,7 @@ will be positive infinity. A completely degenerate NormalGamma distribution with
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@ -852,7 +852,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -820,7 +820,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -877,7 +877,7 @@ For details about this distribution, see.
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@ -912,7 +912,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -880,7 +880,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -819,7 +819,7 @@ For details about this distribution, see. <blockquote class="remarks">
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@ -509,7 +509,7 @@ Applied Statistics, Vol. 21, No. 3 (1972), pp. 341-345
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@ -775,7 +775,7 @@ For details about this distribution, see.
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@ -303,7 +303,7 @@
</ul>
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@ -193,7 +193,7 @@ and then dividing the total by the number of loss periods. <blockquote class="re
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@ -216,7 +216,7 @@ looks at periods where the investment return was less than average return.
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@ -144,7 +144,7 @@
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@ -981,7 +981,7 @@ 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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@ -209,7 +209,7 @@
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@ -152,7 +152,7 @@
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@ -191,7 +191,7 @@ or derivative discontinuities and no poles inside the interval.
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@ -275,7 +275,7 @@
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@ -215,7 +215,7 @@
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@ -152,7 +152,7 @@
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@ -440,7 +440,7 @@ The values are assumed to be sorted ascendingly by x.
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@ -307,7 +307,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered.
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@ -489,7 +489,7 @@ and zero second derivatives at the two boundaries, sorted ascendingly by x.
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@ -385,7 +385,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered.
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@ -349,7 +349,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered and m
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@ -351,7 +351,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered.
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@ -351,7 +351,7 @@
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@ -361,7 +361,7 @@
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@ -299,7 +299,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered and m
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@ -183,7 +183,7 @@
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@ -268,7 +268,7 @@ solution vector and x is the unknown vector.
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@ -262,7 +262,7 @@ solution vector and x is the unknown vector.
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@ -269,7 +269,7 @@ of the matrix diagonal as preconditioning values.
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@ -288,7 +288,7 @@ before switching over to the <code>BiCgStab</code> algorithm.
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@ -270,7 +270,7 @@
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@ -381,7 +381,7 @@ the preconditioner. </p>
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@ -295,7 +295,7 @@
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@ -296,7 +296,7 @@ Krylov sub-space.
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@ -262,7 +262,7 @@ solution vector and x is the unknown vector.
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@ -172,7 +172,7 @@
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@ -4598,7 +4598,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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@ -2634,7 +2634,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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@ -4397,7 +4397,7 @@ The format string is ignored.
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@ -4234,7 +4234,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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@ -4581,7 +4581,7 @@ The format string is ignored.
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@ -2602,7 +2602,7 @@ The format string is ignored.
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@ -2455,7 +2455,7 @@ The format string is ignored.
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@ -164,7 +164,7 @@
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api/MathNet.Numerics.LinearAlgebra.Complex32.Solvers/BiCgStab.htm

@ -268,7 +268,7 @@ solution vector and x is the unknown vector.
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@ -262,7 +262,7 @@ solution vector and x is the unknown vector.
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@ -269,7 +269,7 @@ of the matrix diagonal as preconditioning values.
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@ -288,7 +288,7 @@ before switching over to the <code>BiCgStab</code> algorithm.
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@ -270,7 +270,7 @@
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@ -381,7 +381,7 @@ the preconditioner. </p>
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@ -295,7 +295,7 @@
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@ -296,7 +296,7 @@ Krylov sub-space.
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@ -262,7 +262,7 @@ solution vector and x is the unknown vector.
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