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Math.NET Numerics: 4.15.0 api update

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Christoph Ruegg 6 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/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. 2
      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. 2
      api/MathNet.Numerics.LinearAlgebra.Complex/DenseMatrix.htm
  92. 2
      api/MathNet.Numerics.LinearAlgebra.Complex/DenseVector.htm
  93. 2
      api/MathNet.Numerics.LinearAlgebra.Complex/DiagonalMatrix.htm
  94. 2
      api/MathNet.Numerics.LinearAlgebra.Complex/Matrix.htm
  95. 2
      api/MathNet.Numerics.LinearAlgebra.Complex/SparseMatrix.htm
  96. 2
      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
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@ -286,7 +286,7 @@
</div>
</div>
<div id="footer">
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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.Differentiation/NumericalDerivative.htm
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@ -540,7 +540,7 @@ h is approximately equal to the square-root of machine accuracy, epsilon.
</div>
</div>
<div id="footer">
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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/NumericalHessian.htm
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@ -314,7 +314,7 @@ The function mirrors the Hessian along the diagonal since d2f/dxdy = d2f/dydx fo
</div>
</div>
<div id="footer">
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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/NumericalJacobian.htm
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@ -363,7 +363,7 @@ added efficiency. This method also assumes that the length of vector x consisten
</div>
</div>
<div id="footer">
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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</body>

2
api/MathNet.Numerics.Differentiation/StepType.htm
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@ -338,7 +338,7 @@ input parameter. Although implementation may vary, an example of second order ac
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</div>
<div id="footer">
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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.Differentiation/index.htm
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@ -159,7 +159,7 @@
</div>
<div id="footer">
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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
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@ -800,7 +800,7 @@ p specifies the probability that a 1 is generated..
</div>
</div>
<div id="footer">
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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</body>

2
api/MathNet.Numerics.Distributions/Beta.htm
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@ -882,7 +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 v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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/BetaBinomial.htm
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@ -796,7 +796,7 @@ It is frequently used in Bayesian statistics, empirical Bayes methods and classi
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<div id="footer">
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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/BetaScaled.htm
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@ -966,7 +966,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<div id="footer">
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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
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@ -832,7 +832,7 @@ For details about this distribution, see. <blockquote class="remarks">
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<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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api/MathNet.Numerics.Distributions/Burr.htm
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@ -776,7 +776,7 @@
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<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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api/MathNet.Numerics.Distributions/Categorical.htm
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@ -1059,7 +1059,7 @@ at the given probability.
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api/MathNet.Numerics.Distributions/Cauchy.htm
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@ -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 v4.14.0.0 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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api/MathNet.Numerics.Distributions/Chi.htm
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@ -794,7 +794,7 @@ then have a chi distribution..
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<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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api/MathNet.Numerics.Distributions/ChiSquared.htm
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@ -838,7 +838,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<div id="footer">
<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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/ContinuousUniform.htm
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@ -881,7 +881,7 @@ at the given probability. This is also known as the quantile or percent point fu
</div>
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<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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/ConwayMaxwellPoisson.htm
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@ -793,7 +793,7 @@ distributions. It is parameterized by two real numbers "lambda" and "nu". For <d
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api/MathNet.Numerics.Distributions/Dirichlet.htm
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@ -572,7 +572,7 @@ You can also leave out the last <var>x</var> component, and it will be compute
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<p>Based on v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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/DiscreteUniform.htm
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@ -824,7 +824,7 @@ is parameterized by a lower and upper bound (both inclusive)..
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api/MathNet.Numerics.Distributions/Erlang.htm
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@ -873,7 +873,7 @@ be initialized with the default random number generator.
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2
api/MathNet.Numerics.Distributions/Exponential.htm
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@ -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 v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 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
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@ -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 v4.14.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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api/MathNet.Numerics.Distributions/Gamma.htm
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@ -928,7 +928,7 @@ at the given probability. This is also known as the quantile or percent point fu
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api/MathNet.Numerics.Distributions/Geometric.htm
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@ -765,7 +765,7 @@ This implementation of the Geometric distribution will never generate 0's..
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api/MathNet.Numerics.Distributions/Hypergeometric.htm
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@ -826,7 +826,7 @@ describes the number of successes for draws with replacement.
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api/MathNet.Numerics.Distributions/IContinuousDistribution.htm
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@ -404,7 +404,7 @@
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api/MathNet.Numerics.Distributions/IDiscreteDistribution.htm
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@ -404,7 +404,7 @@
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api/MathNet.Numerics.Distributions/IDistribution.htm
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@ -302,7 +302,7 @@
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api/MathNet.Numerics.Distributions/IUnivariateDistribution.htm
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@ -364,7 +364,7 @@
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api/MathNet.Numerics.Distributions/InverseGamma.htm
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@ -826,7 +826,7 @@ two positive parameters..
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api/MathNet.Numerics.Distributions/InverseGaussian.htm
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@ -809,7 +809,7 @@ No closed form analytical expression exists, so this value is approximated numer
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</ul>
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@ -265,7 +265,7 @@ solution vector and x is the unknown vector.
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/DiagonalPreconditioner.htm
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@ -272,7 +272,7 @@ of the matrix diagonal as preconditioning values.
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/GpBiCg.htm
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@ -291,7 +291,7 @@ before switching over to the <code>BiCgStab</code> algorithm.
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/ILU0Preconditioner.htm
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@ -273,7 +273,7 @@
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/ILUTPPreconditioner.htm
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@ -384,7 +384,7 @@ the preconditioner. </p>
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/MILU0Preconditioner.htm
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@ -298,7 +298,7 @@
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/MlkBiCgStab.htm
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@ -299,7 +299,7 @@ Krylov sub-space.
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/TFQMR.htm
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@ -265,7 +265,7 @@ solution vector and x is the unknown vector.
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api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/index.htm
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api/MathNet.Numerics.LinearAlgebra.Complex/DenseMatrix.htm
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@ -4623,7 +4623,7 @@ 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
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@ -2636,7 +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/DiagonalMatrix.htm
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@ -4421,7 +4421,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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api/MathNet.Numerics.LinearAlgebra.Complex/Matrix.htm
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@ -4261,7 +4261,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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api/MathNet.Numerics.LinearAlgebra.Complex/SparseMatrix.htm
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@ -4606,7 +4606,7 @@ 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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@ -2604,7 +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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api/MathNet.Numerics.LinearAlgebra.Complex32.Solvers/BiCgStab.htm
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@ -271,7 +271,7 @@ solution vector and x is the unknown vector.
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api/MathNet.Numerics.LinearAlgebra.Complex32.Solvers/CompositeSolver.htm
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@ -265,7 +265,7 @@ solution vector and x is the unknown vector.
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