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Math.NET Numerics: 4.14.0 api update

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Christoph Ruegg 6 years ago
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877fc2ed56
  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/BetaBinomial.htm
  10. 2
      api/MathNet.Numerics.Distributions/BetaScaled.htm
  11. 2
      api/MathNet.Numerics.Distributions/Binomial.htm
  12. 2
      api/MathNet.Numerics.Distributions/Burr.htm
  13. 2
      api/MathNet.Numerics.Distributions/Categorical.htm
  14. 2
      api/MathNet.Numerics.Distributions/Cauchy.htm
  15. 2
      api/MathNet.Numerics.Distributions/Chi.htm
  16. 2
      api/MathNet.Numerics.Distributions/ChiSquared.htm
  17. 2
      api/MathNet.Numerics.Distributions/ContinuousUniform.htm
  18. 2
      api/MathNet.Numerics.Distributions/ConwayMaxwellPoisson.htm
  19. 2
      api/MathNet.Numerics.Distributions/Dirichlet.htm
  20. 2
      api/MathNet.Numerics.Distributions/DiscreteUniform.htm
  21. 2
      api/MathNet.Numerics.Distributions/Erlang.htm
  22. 2
      api/MathNet.Numerics.Distributions/Exponential.htm
  23. 2
      api/MathNet.Numerics.Distributions/FisherSnedecor.htm
  24. 2
      api/MathNet.Numerics.Distributions/Gamma.htm
  25. 2
      api/MathNet.Numerics.Distributions/Geometric.htm
  26. 2
      api/MathNet.Numerics.Distributions/Hypergeometric.htm
  27. 2
      api/MathNet.Numerics.Distributions/IContinuousDistribution.htm
  28. 2
      api/MathNet.Numerics.Distributions/IDiscreteDistribution.htm
  29. 2
      api/MathNet.Numerics.Distributions/IDistribution.htm
  30. 2
      api/MathNet.Numerics.Distributions/IUnivariateDistribution.htm
  31. 2
      api/MathNet.Numerics.Distributions/InverseGamma.htm
  32. 2
      api/MathNet.Numerics.Distributions/InverseGaussian.htm
  33. 2
      api/MathNet.Numerics.Distributions/InverseWishart.htm
  34. 2
      api/MathNet.Numerics.Distributions/Laplace.htm
  35. 2
      api/MathNet.Numerics.Distributions/LogNormal.htm
  36. 2
      api/MathNet.Numerics.Distributions/MatrixNormal.htm
  37. 2
      api/MathNet.Numerics.Distributions/MeanPrecisionPair.htm
  38. 2
      api/MathNet.Numerics.Distributions/Multinomial.htm
  39. 2
      api/MathNet.Numerics.Distributions/NegativeBinomial.htm
  40. 2
      api/MathNet.Numerics.Distributions/Normal.htm
  41. 2
      api/MathNet.Numerics.Distributions/NormalGamma.htm
  42. 2
      api/MathNet.Numerics.Distributions/Pareto.htm
  43. 2
      api/MathNet.Numerics.Distributions/Poisson.htm
  44. 2
      api/MathNet.Numerics.Distributions/Rayleigh.htm
  45. 2
      api/MathNet.Numerics.Distributions/SkewedGeneralizedError.htm
  46. 2
      api/MathNet.Numerics.Distributions/SkewedGeneralizedT.htm
  47. 2
      api/MathNet.Numerics.Distributions/Stable.htm
  48. 2
      api/MathNet.Numerics.Distributions/StudentT.htm
  49. 2
      api/MathNet.Numerics.Distributions/Triangular.htm
  50. 2
      api/MathNet.Numerics.Distributions/TruncatedPareto.htm
  51. 2
      api/MathNet.Numerics.Distributions/Weibull.htm
  52. 2
      api/MathNet.Numerics.Distributions/Wishart.htm
  53. 2
      api/MathNet.Numerics.Distributions/Zipf.htm
  54. 2
      api/MathNet.Numerics.Distributions/index.htm
  55. 2
      api/MathNet.Numerics.Financial/AbsoluteReturnMeasures.htm
  56. 2
      api/MathNet.Numerics.Financial/AbsoluteRiskMeasures.htm
  57. 2
      api/MathNet.Numerics.Financial/index.htm
  58. 2
      api/MathNet.Numerics.IntegralTransforms/Fourier.htm
  59. 2
      api/MathNet.Numerics.IntegralTransforms/FourierOptions.htm
  60. 2
      api/MathNet.Numerics.IntegralTransforms/Hartley.htm
  61. 2
      api/MathNet.Numerics.IntegralTransforms/HartleyOptions.htm
  62. 2
      api/MathNet.Numerics.IntegralTransforms/index.htm
  63. 2
      api/MathNet.Numerics.Integration/DoubleExponentialTransformation.htm
  64. 2
      api/MathNet.Numerics.Integration/GaussKronrodRule.htm
  65. 2
      api/MathNet.Numerics.Integration/GaussLegendreRule.htm
  66. 2
      api/MathNet.Numerics.Integration/NewtonCotesTrapeziumRule.htm
  67. 2
      api/MathNet.Numerics.Integration/SimpsonRule.htm
  68. 2
      api/MathNet.Numerics.Integration/index.htm
  69. 2
      api/MathNet.Numerics.Interpolation/Barycentric.htm
  70. 2
      api/MathNet.Numerics.Interpolation/BulirschStoerRationalInterpolation.htm
  71. 56
      api/MathNet.Numerics.Interpolation/CubicSpline.htm
  72. 2
      api/MathNet.Numerics.Interpolation/IInterpolation.htm
  73. 2
      api/MathNet.Numerics.Interpolation/LinearSpline.htm
  74. 2
      api/MathNet.Numerics.Interpolation/LogLinear.htm
  75. 2
      api/MathNet.Numerics.Interpolation/NevillePolynomialInterpolation.htm
  76. 2
      api/MathNet.Numerics.Interpolation/QuadraticSpline.htm
  77. 2
      api/MathNet.Numerics.Interpolation/SplineBoundaryCondition.htm
  78. 2
      api/MathNet.Numerics.Interpolation/StepInterpolation.htm
  79. 2
      api/MathNet.Numerics.Interpolation/TransformedInterpolation.htm
  80. 2
      api/MathNet.Numerics.Interpolation/index.htm
  81. 2
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/BiCgStab.htm
  82. 2
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/CompositeSolver.htm
  83. 2
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/DiagonalPreconditioner.htm
  84. 2
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/GpBiCg.htm
  85. 2
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/ILU0Preconditioner.htm
  86. 2
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/ILUTPPreconditioner.htm
  87. 2
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/MILU0Preconditioner.htm
  88. 2
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/MlkBiCgStab.htm
  89. 2
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/TFQMR.htm
  90. 2
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/index.htm
  91. 846
      api/MathNet.Numerics.LinearAlgebra.Complex/DenseMatrix.htm
  92. 5
      api/MathNet.Numerics.LinearAlgebra.Complex/DenseVector.htm
  93. 603
      api/MathNet.Numerics.LinearAlgebra.Complex/DiagonalMatrix.htm
  94. 802
      api/MathNet.Numerics.LinearAlgebra.Complex/Matrix.htm
  95. 616
      api/MathNet.Numerics.LinearAlgebra.Complex/SparseMatrix.htm
  96. 5
      api/MathNet.Numerics.LinearAlgebra.Complex/SparseVector.htm
  97. 2
      api/MathNet.Numerics.LinearAlgebra.Complex/Vector.htm
  98. 2
      api/MathNet.Numerics.LinearAlgebra.Complex/index.htm
  99. 2
      api/MathNet.Numerics.LinearAlgebra.Complex32.Solvers/BiCgStab.htm
  100. 2
      api/MathNet.Numerics.LinearAlgebra.Complex32.Solvers/CompositeSolver.htm

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

@ -286,7 +286,7 @@
</div>
</div>
<div id="footer">
<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.14.0.0 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

@ -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 v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.14.0.0 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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<p>Based on v4.13.0.0 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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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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<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.14.0.0 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

@ -159,7 +159,7 @@
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<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.14.0.0 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

@ -800,7 +800,7 @@ p specifies the probability that a 1 is generated..
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<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.14.0.0 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

@ -882,7 +882,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/BetaBinomial.htm

@ -796,7 +796,7 @@ It is frequently used in Bayesian statistics, empirical Bayes methods and classi
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<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/BetaScaled.htm

@ -966,7 +966,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Binomial.htm

@ -832,7 +832,7 @@ For details about this distribution, see. <blockquote class="remarks">
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2
api/MathNet.Numerics.Distributions/Burr.htm

@ -776,7 +776,7 @@
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2
api/MathNet.Numerics.Distributions/Categorical.htm

@ -1059,7 +1059,7 @@ at the given probability.
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2
api/MathNet.Numerics.Distributions/Cauchy.htm

@ -881,7 +881,7 @@ at the given probability. This is also known as the quantile or percent point fu
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2
api/MathNet.Numerics.Distributions/Chi.htm

@ -794,7 +794,7 @@ then have a chi distribution..
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2
api/MathNet.Numerics.Distributions/ChiSquared.htm

@ -838,7 +838,7 @@ at the given probability. This is also known as the quantile or percent point fu
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2
api/MathNet.Numerics.Distributions/ContinuousUniform.htm

@ -881,7 +881,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/ConwayMaxwellPoisson.htm

@ -793,7 +793,7 @@ distributions. It is parameterized by two real numbers "lambda" and "nu". For <d
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2
api/MathNet.Numerics.Distributions/Dirichlet.htm

@ -572,7 +572,7 @@ You can also leave out the last <var>x</var> component, and it will be compute
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2
api/MathNet.Numerics.Distributions/DiscreteUniform.htm

@ -824,7 +824,7 @@ is parameterized by a lower and upper bound (both inclusive)..
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2
api/MathNet.Numerics.Distributions/Erlang.htm

@ -873,7 +873,7 @@ be initialized with the default random number generator.
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2
api/MathNet.Numerics.Distributions/Exponential.htm

@ -838,7 +838,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/FisherSnedecor.htm

@ -875,7 +875,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.13.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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2
api/MathNet.Numerics.Distributions/Gamma.htm

@ -928,7 +928,7 @@ at the given probability. This is also known as the quantile or percent point fu
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2
api/MathNet.Numerics.Distributions/Geometric.htm

@ -765,7 +765,7 @@ This implementation of the Geometric distribution will never generate 0's..
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2
api/MathNet.Numerics.Distributions/Hypergeometric.htm

@ -826,7 +826,7 @@ describes the number of successes for draws with replacement.
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2
api/MathNet.Numerics.Distributions/IContinuousDistribution.htm

@ -404,7 +404,7 @@
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2
api/MathNet.Numerics.Distributions/IDiscreteDistribution.htm

@ -404,7 +404,7 @@
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api/MathNet.Numerics.Distributions/IDistribution.htm

@ -302,7 +302,7 @@
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api/MathNet.Numerics.Distributions/IUnivariateDistribution.htm

@ -364,7 +364,7 @@
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2
api/MathNet.Numerics.Distributions/InverseGamma.htm

@ -826,7 +826,7 @@ two positive parameters..
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api/MathNet.Numerics.Distributions/InverseGaussian.htm

@ -809,7 +809,7 @@ No closed form analytical expression exists, so this value is approximated numer
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2
api/MathNet.Numerics.Distributions/InverseWishart.htm

@ -529,7 +529,7 @@ a Wishart random variable and inverting the matrix.
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api/MathNet.Numerics.Distributions/Laplace.htm

@ -835,7 +835,7 @@ p(x) = \frac{1}{2 * scale} \exp{- |x - mean| / scale}..
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2
api/MathNet.Numerics.Distributions/LogNormal.htm

@ -954,7 +954,7 @@ 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

@ -517,7 +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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2
api/MathNet.Numerics.Distributions/MeanPrecisionPair.htm

@ -379,7 +379,7 @@ is defined.
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2
api/MathNet.Numerics.Distributions/Multinomial.htm

@ -610,7 +610,7 @@ as this is often impossible using floating point arithmetic. </p>
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2
api/MathNet.Numerics.Distributions/NegativeBinomial.htm

@ -795,7 +795,7 @@ when the probability of success is p..
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2
api/MathNet.Numerics.Distributions/Normal.htm

@ -1002,7 +1002,7 @@ at the given probability. This is also known as the quantile or percent point fu
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2
api/MathNet.Numerics.Distributions/NormalGamma.htm

@ -687,7 +687,7 @@ will be positive infinity. A completely degenerate NormalGamma distribution with
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2
api/MathNet.Numerics.Distributions/Pareto.htm

@ -873,7 +873,7 @@ at the given probability. This is also known as the quantile or percent point fu
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2
api/MathNet.Numerics.Distributions/Poisson.htm

@ -797,7 +797,7 @@
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2
api/MathNet.Numerics.Distributions/Rayleigh.htm

@ -841,7 +841,7 @@ at the given probability. This is also known as the quantile or percent point fu
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2
api/MathNet.Numerics.Distributions/SkewedGeneralizedError.htm

@ -803,7 +803,7 @@ with location=0.0, scale=1.0, skew=0.0 and p=2.0 (a standard normal distribution
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2
api/MathNet.Numerics.Distributions/SkewedGeneralizedT.htm

@ -952,7 +952,7 @@ at the given probability. This is also known as the quantile or percent point fu
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2
api/MathNet.Numerics.Distributions/Stable.htm

@ -898,7 +898,7 @@ For details about this distribution, see.
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2
api/MathNet.Numerics.Distributions/StudentT.htm

@ -933,7 +933,7 @@ at the given probability. This is also known as the quantile or percent point fu
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2
api/MathNet.Numerics.Distributions/Triangular.htm

@ -901,7 +901,7 @@ at the given probability. This is also known as the quantile or percent point fu
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2
api/MathNet.Numerics.Distributions/TruncatedPareto.htm

@ -824,7 +824,7 @@
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2
api/MathNet.Numerics.Distributions/Weibull.htm

@ -840,7 +840,7 @@ For details about this distribution, see. <blockquote class="remarks">
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api/MathNet.Numerics.Distributions/Wishart.htm

@ -530,7 +530,7 @@ Applied Statistics, Vol. 21, No. 3 (1972), pp. 341-345
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2
api/MathNet.Numerics.Distributions/Zipf.htm

@ -796,7 +796,7 @@ For details about this distribution, see.
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@ -330,7 +330,7 @@
</ul>
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2
api/MathNet.Numerics.Financial/AbsoluteReturnMeasures.htm

@ -196,7 +196,7 @@ and then dividing the total by the number of loss periods. <blockquote class="re
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2
api/MathNet.Numerics.Financial/AbsoluteRiskMeasures.htm

@ -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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2
api/MathNet.Numerics.IntegralTransforms/Fourier.htm

@ -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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2
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@ -369,7 +369,7 @@
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@ -212,7 +212,7 @@
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@ -330,7 +330,7 @@
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@ -155,7 +155,7 @@
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api/MathNet.Numerics.Integration/DoubleExponentialTransformation.htm

@ -224,7 +224,7 @@ or derivative discontinuities and no poles inside the interval.
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@ -280,7 +280,7 @@
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@ -406,7 +406,7 @@
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@ -393,7 +393,7 @@
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@ -221,7 +221,7 @@
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@ -159,7 +159,7 @@
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api/MathNet.Numerics.Interpolation/Barycentric.htm

@ -443,7 +443,7 @@ The values are assumed to be sorted ascendingly by x.
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api/MathNet.Numerics.Interpolation/BulirschStoerRationalInterpolation.htm

@ -310,7 +310,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered.
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56
api/MathNet.Numerics.Interpolation/CubicSpline.htm

@ -193,6 +193,9 @@
<li><a href="../MathNet.Numerics.Interpolation/CubicSpline.htm#InterpolateNatural">InterpolateNatural</a></li>
<li><a href="../MathNet.Numerics.Interpolation/CubicSpline.htm#InterpolateNaturalInplace">InterpolateNaturalInplace</a></li>
<li><a href="../MathNet.Numerics.Interpolation/CubicSpline.htm#InterpolateNaturalSorted">InterpolateNaturalSorted</a></li>
<li><a href="../MathNet.Numerics.Interpolation/CubicSpline.htm#InterpolatePchip">InterpolatePchip</a></li>
<li><a href="../MathNet.Numerics.Interpolation/CubicSpline.htm#InterpolatePchipInplace">InterpolatePchipInplace</a></li>
<li><a href="../MathNet.Numerics.Interpolation/CubicSpline.htm#InterpolatePchipSorted">InterpolatePchipSorted</a></li>
</ul>
<h3 class="section">Methods</h3>
<ul>
@ -357,6 +360,37 @@ and zero second derivatives at the two boundaries, sorted ascendingly by x.
</div>
</div>
<div id="InterpolatePchip" class="method">
<h4><a href="../MathNet.Numerics.Interpolation/CubicSpline.htm">CubicSpline</a> <strong>InterpolatePchip</strong>(<span title="System.Collections.Generic.IEnumerable<double>">IEnumerable&lt;double&gt;</span> x, <span title="System.Collections.Generic.IEnumerable<double>">IEnumerable&lt;double&gt;</span> y)</h4>
<div class="content">Create a piecewise cubic Hermite interpolating polynomial from an unsorted set of (x,y) value pairs.
Monotone-preserving interpolation with continuous first derivative.
</div>
</div>
<div id="InterpolatePchipInplace" class="method">
<h4><a href="../MathNet.Numerics.Interpolation/CubicSpline.htm">CubicSpline</a> <strong>InterpolatePchipInplace</strong>(<span title="System.Double[]">Double[]</span> x, <span title="System.Double[]">Double[]</span> y)</h4>
<div class="content">Create a piecewise cubic Hermite interpolating polynomial from an unsorted set of (x,y) value pairs.
Monotone-preserving interpolation with continuous first derivative.
WARNING: Works in-place and can thus causes the data array to be reordered.
</div>
</div>
<div id="InterpolatePchipSorted" class="method">
<h4><a href="../MathNet.Numerics.Interpolation/CubicSpline.htm">CubicSpline</a> <strong>InterpolatePchipSorted</strong>(<span title="System.Double[]">Double[]</span> x, <span title="System.Double[]">Double[]</span> y)</h4>
<div class="content">Create a piecewise cubic Hermite interpolating polynomial from an unsorted set of (x,y) value pairs.
Monotone-preserving interpolation with continuous first derivative.
</div>
</div>
@ -430,32 +464,32 @@ and zero second derivatives at the two boundaries, sorted ascendingly by x.
</div>
</div>
<div id="Integrate" class="method">
<h4><span title="System.double">double</span> <strong>Integrate</strong>(<span title="System.double">double</span> t)</h4>
<div class="content">Indefinite integral at point t.
<h4><span title="System.double">double</span> <strong>Integrate</strong>(<span title="System.double">double</span> a, <span title="System.double">double</span> b)</h4>
<div class="content">Definite integral between points a and b.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> t</h6>
<p class="comments">Point t to integrate at. </p>
<h6><code><span title="System.double">double</span></code> a</h6>
<p class="comments">Left bound of the integration interval [a,b]. </p>
<h6><code><span title="System.double">double</span></code> b</h6>
<p class="comments">Right bound of the integration interval [a,b]. </p>
</div>
</div>
</div>
<div id="Integrate" class="method">
<h4><span title="System.double">double</span> <strong>Integrate</strong>(<span title="System.double">double</span> a, <span title="System.double">double</span> b)</h4>
<div class="content">Definite integral between points a and b.
<h4><span title="System.double">double</span> <strong>Integrate</strong>(<span title="System.double">double</span> t)</h4>
<div class="content">Indefinite integral at point t.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> a</h6>
<p class="comments">Left bound of the integration interval [a,b]. </p>
<h6><code><span title="System.double">double</span></code> b</h6>
<p class="comments">Right bound of the integration interval [a,b]. </p>
<h6><code><span title="System.double">double</span></code> t</h6>
<p class="comments">Point t to integrate at. </p>
</div>
@ -492,7 +526,7 @@ and zero second derivatives at the two boundaries, sorted ascendingly by x.
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@ -303,7 +303,7 @@
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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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api/MathNet.Numerics.Interpolation/QuadraticSpline.htm

@ -354,7 +354,7 @@
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@ -364,7 +364,7 @@
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api/MathNet.Numerics.Interpolation/StepInterpolation.htm

@ -388,7 +388,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered.
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api/MathNet.Numerics.Interpolation/TransformedInterpolation.htm

@ -302,7 +302,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered and m
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api/MathNet.Numerics.Interpolation/index.htm

@ -186,7 +186,7 @@
</ul>
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/BiCgStab.htm

@ -271,7 +271,7 @@ solution vector and x is the unknown vector.
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/CompositeSolver.htm

@ -265,7 +265,7 @@ solution vector and x is the unknown vector.
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/DiagonalPreconditioner.htm

@ -272,7 +272,7 @@ of the matrix diagonal as preconditioning values.
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/GpBiCg.htm

@ -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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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/ILUTPPreconditioner.htm

@ -384,7 +384,7 @@ the preconditioner. </p>
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/MILU0Preconditioner.htm

@ -298,7 +298,7 @@
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@ -299,7 +299,7 @@ Krylov sub-space.
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/TFQMR.htm

@ -265,7 +265,7 @@ solution vector and x is the unknown vector.
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@ -175,7 +175,7 @@
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@ -374,8 +374,7 @@ Very efficient, but changes to the array and the vector will affect each other.
<div id=".ctor" class="method">
<h4> <strong>DenseVector</strong>(<span title="System.int">int</span> length)</h4>
<div class="content">Create a new dense vector with the given length.
All cells of the vector will be initialized to zero.
Zero-length vectors are not supported.
All cells of the vector will be initialized to zero.
@ -2637,7 +2636,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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api/MathNet.Numerics.LinearAlgebra.Complex/SparseVector.htm

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<div id=".ctor" class="method">
<h4> <strong>SparseVector</strong>(<span title="System.int">int</span> length)</h4>
<div class="content">Create a new sparse vector with the given length.
All cells of the vector will be initialized to zero.
Zero-length vectors are not supported.
All cells of the vector will be initialized to zero.
@ -2605,7 +2604,7 @@ 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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@ -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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