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Math.NET Numerics: 5.0.0-alpha02 api update

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Christoph Ruegg 5 years ago
parent
commit
deaec7747d
  1. 13
      api/MathNet.Numerics.Differentiation/FiniteDifferenceCoefficients.htm
  2. 13
      api/MathNet.Numerics.Differentiation/NumericalDerivative.htm
  3. 13
      api/MathNet.Numerics.Differentiation/NumericalHessian.htm
  4. 13
      api/MathNet.Numerics.Differentiation/NumericalJacobian.htm
  5. 13
      api/MathNet.Numerics.Differentiation/StepType.htm
  6. 13
      api/MathNet.Numerics.Differentiation/index.htm
  7. 16
      api/MathNet.Numerics.Distributions/Bernoulli.htm
  8. 16
      api/MathNet.Numerics.Distributions/Beta.htm
  9. 16
      api/MathNet.Numerics.Distributions/BetaBinomial.htm
  10. 16
      api/MathNet.Numerics.Distributions/BetaScaled.htm
  11. 16
      api/MathNet.Numerics.Distributions/Binomial.htm
  12. 34
      api/MathNet.Numerics.Distributions/Burr.htm
  13. 16
      api/MathNet.Numerics.Distributions/Categorical.htm
  14. 16
      api/MathNet.Numerics.Distributions/Cauchy.htm
  15. 16
      api/MathNet.Numerics.Distributions/Chi.htm
  16. 16
      api/MathNet.Numerics.Distributions/ChiSquared.htm
  17. 16
      api/MathNet.Numerics.Distributions/ContinuousUniform.htm
  18. 16
      api/MathNet.Numerics.Distributions/ConwayMaxwellPoisson.htm
  19. 16
      api/MathNet.Numerics.Distributions/Dirichlet.htm
  20. 16
      api/MathNet.Numerics.Distributions/DiscreteUniform.htm
  21. 16
      api/MathNet.Numerics.Distributions/Erlang.htm
  22. 16
      api/MathNet.Numerics.Distributions/Exponential.htm
  23. 16
      api/MathNet.Numerics.Distributions/FisherSnedecor.htm
  24. 16
      api/MathNet.Numerics.Distributions/Gamma.htm
  25. 16
      api/MathNet.Numerics.Distributions/Geometric.htm
  26. 16
      api/MathNet.Numerics.Distributions/Hypergeometric.htm
  27. 16
      api/MathNet.Numerics.Distributions/IContinuousDistribution.htm
  28. 16
      api/MathNet.Numerics.Distributions/IDiscreteDistribution.htm
  29. 16
      api/MathNet.Numerics.Distributions/IDistribution.htm
  30. 16
      api/MathNet.Numerics.Distributions/IUnivariateDistribution.htm
  31. 16
      api/MathNet.Numerics.Distributions/InverseGamma.htm
  32. 22
      api/MathNet.Numerics.Distributions/InverseGaussian.htm
  33. 16
      api/MathNet.Numerics.Distributions/InverseWishart.htm
  34. 16
      api/MathNet.Numerics.Distributions/Laplace.htm
  35. 16
      api/MathNet.Numerics.Distributions/LogNormal.htm
  36. 1006
      api/MathNet.Numerics.Distributions/Logistic.htm
  37. 16
      api/MathNet.Numerics.Distributions/MatrixNormal.htm
  38. 16
      api/MathNet.Numerics.Distributions/MeanPrecisionPair.htm
  39. 16
      api/MathNet.Numerics.Distributions/Multinomial.htm
  40. 16
      api/MathNet.Numerics.Distributions/NegativeBinomial.htm
  41. 16
      api/MathNet.Numerics.Distributions/Normal.htm
  42. 16
      api/MathNet.Numerics.Distributions/NormalGamma.htm
  43. 16
      api/MathNet.Numerics.Distributions/Pareto.htm
  44. 16
      api/MathNet.Numerics.Distributions/Poisson.htm
  45. 16
      api/MathNet.Numerics.Distributions/Rayleigh.htm
  46. 26
      api/MathNet.Numerics.Distributions/SkewedGeneralizedError.htm
  47. 16
      api/MathNet.Numerics.Distributions/SkewedGeneralizedT.htm
  48. 16
      api/MathNet.Numerics.Distributions/Stable.htm
  49. 16
      api/MathNet.Numerics.Distributions/StudentT.htm
  50. 16
      api/MathNet.Numerics.Distributions/Triangular.htm
  51. 22
      api/MathNet.Numerics.Distributions/TruncatedPareto.htm
  52. 16
      api/MathNet.Numerics.Distributions/Weibull.htm
  53. 16
      api/MathNet.Numerics.Distributions/Wishart.htm
  54. 16
      api/MathNet.Numerics.Distributions/Zipf.htm
  55. 17
      api/MathNet.Numerics.Distributions/index.htm
  56. 13
      api/MathNet.Numerics.Financial/AbsoluteReturnMeasures.htm
  57. 13
      api/MathNet.Numerics.Financial/AbsoluteRiskMeasures.htm
  58. 13
      api/MathNet.Numerics.Financial/index.htm
  59. 385
      api/MathNet.Numerics.IntegralTransforms/Fourier.htm
  60. 13
      api/MathNet.Numerics.IntegralTransforms/FourierOptions.htm
  61. 13
      api/MathNet.Numerics.IntegralTransforms/Hartley.htm
  62. 13
      api/MathNet.Numerics.IntegralTransforms/HartleyOptions.htm
  63. 13
      api/MathNet.Numerics.IntegralTransforms/index.htm
  64. 13
      api/MathNet.Numerics.Integration/DoubleExponentialTransformation.htm
  65. 13
      api/MathNet.Numerics.Integration/GaussKronrodRule.htm
  66. 13
      api/MathNet.Numerics.Integration/GaussLegendreRule.htm
  67. 13
      api/MathNet.Numerics.Integration/NewtonCotesTrapeziumRule.htm
  68. 13
      api/MathNet.Numerics.Integration/SimpsonRule.htm
  69. 13
      api/MathNet.Numerics.Integration/index.htm
  70. 13
      api/MathNet.Numerics.Interpolation/Barycentric.htm
  71. 13
      api/MathNet.Numerics.Interpolation/BulirschStoerRationalInterpolation.htm
  72. 13
      api/MathNet.Numerics.Interpolation/CubicSpline.htm
  73. 13
      api/MathNet.Numerics.Interpolation/IInterpolation.htm
  74. 13
      api/MathNet.Numerics.Interpolation/LinearSpline.htm
  75. 13
      api/MathNet.Numerics.Interpolation/LogLinear.htm
  76. 13
      api/MathNet.Numerics.Interpolation/NevillePolynomialInterpolation.htm
  77. 13
      api/MathNet.Numerics.Interpolation/QuadraticSpline.htm
  78. 13
      api/MathNet.Numerics.Interpolation/SplineBoundaryCondition.htm
  79. 13
      api/MathNet.Numerics.Interpolation/StepInterpolation.htm
  80. 13
      api/MathNet.Numerics.Interpolation/TransformedInterpolation.htm
  81. 13
      api/MathNet.Numerics.Interpolation/index.htm
  82. 13
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/BiCgStab.htm
  83. 13
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/CompositeSolver.htm
  84. 13
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/DiagonalPreconditioner.htm
  85. 13
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/GpBiCg.htm
  86. 13
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/ILU0Preconditioner.htm
  87. 13
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/ILUTPPreconditioner.htm
  88. 13
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/MILU0Preconditioner.htm
  89. 13
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/MlkBiCgStab.htm
  90. 13
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/TFQMR.htm
  91. 13
      api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/index.htm
  92. 25
      api/MathNet.Numerics.LinearAlgebra.Complex/DenseMatrix.htm
  93. 17
      api/MathNet.Numerics.LinearAlgebra.Complex/DenseVector.htm
  94. 25
      api/MathNet.Numerics.LinearAlgebra.Complex/DiagonalMatrix.htm
  95. 25
      api/MathNet.Numerics.LinearAlgebra.Complex/Matrix.htm
  96. 25
      api/MathNet.Numerics.LinearAlgebra.Complex/SparseMatrix.htm
  97. 17
      api/MathNet.Numerics.LinearAlgebra.Complex/SparseVector.htm
  98. 17
      api/MathNet.Numerics.LinearAlgebra.Complex/Vector.htm
  99. 13
      api/MathNet.Numerics.LinearAlgebra.Complex/index.htm
  100. 13
      api/MathNet.Numerics.LinearAlgebra.Complex32.Solvers/BiCgStab.htm

13
api/MathNet.Numerics.Differentiation/FiniteDifferenceCoefficients.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -286,7 +277,7 @@
</div>
</div>
<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

13
api/MathNet.Numerics.Differentiation/NumericalDerivative.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -540,7 +531,7 @@ h is approximately equal to the square-root of machine accuracy, epsilon.
</div>
</div>
<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

13
api/MathNet.Numerics.Differentiation/NumericalHessian.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -314,7 +305,7 @@ The function mirrors the Hessian along the diagonal since d2f/dxdy = d2f/dydx fo
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<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

13
api/MathNet.Numerics.Differentiation/NumericalJacobian.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -363,7 +354,7 @@ added efficiency. This method also assumes that the length of vector x consisten
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<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

13
api/MathNet.Numerics.Differentiation/StepType.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -338,7 +329,7 @@ input parameter. Although implementation may vary, an example of second order ac
</div>
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<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

13
api/MathNet.Numerics.Differentiation/index.htm

@ -88,22 +88,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -159,7 +150,7 @@
</div>
<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

16
api/MathNet.Numerics.Distributions/Bernoulli.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
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<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -210,6 +201,9 @@
</li>
<li>
<a href="../MathNet.Numerics.Distributions/Laplace.htm">Laplace</a>
</li>
<li>
<a href="../MathNet.Numerics.Distributions/Logistic.htm">Logistic</a>
</li>
<li>
<a href="../MathNet.Numerics.Distributions/LogNormal.htm">LogNormal</a>
@ -800,7 +794,7 @@ p specifies the probability that a 1 is generated..
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<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
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16
api/MathNet.Numerics.Distributions/Beta.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
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<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
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<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -210,6 +201,9 @@
</li>
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<a href="../MathNet.Numerics.Distributions/Laplace.htm">Laplace</a>
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<a href="../MathNet.Numerics.Distributions/Logistic.htm">Logistic</a>
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<a href="../MathNet.Numerics.Distributions/LogNormal.htm">LogNormal</a>
@ -882,7 +876,7 @@ at the given probability. This is also known as the quantile or percent point fu
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<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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16
api/MathNet.Numerics.Distributions/BetaBinomial.htm

@ -89,22 +89,13 @@
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
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@ -210,6 +201,9 @@
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@ -796,7 +790,7 @@ It is frequently used in Bayesian statistics, empirical Bayes methods and classi
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@ -210,6 +201,9 @@
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@ -966,7 +960,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -210,6 +201,9 @@
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@ -832,7 +826,7 @@ For details about this distribution, see. <blockquote class="remarks">
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@ -210,6 +201,9 @@
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<a href="../MathNet.Numerics.Distributions/LogNormal.htm">LogNormal</a>
@ -311,10 +305,10 @@
<h3 class="section">Properties</h3>
<ul>
<li><a href="../MathNet.Numerics.Distributions/Burr.htm#a">a</a></li>
<li><a href="../MathNet.Numerics.Distributions/Burr.htm#c">c</a></li>
<li><a href="../MathNet.Numerics.Distributions/Burr.htm#A">A</a></li>
<li><a href="../MathNet.Numerics.Distributions/Burr.htm#C">C</a></li>
<li><a href="../MathNet.Numerics.Distributions/Burr.htm#Entropy">Entropy</a></li>
<li><a href="../MathNet.Numerics.Distributions/Burr.htm#k">k</a></li>
<li><a href="../MathNet.Numerics.Distributions/Burr.htm#K">K</a></li>
<li><a href="../MathNet.Numerics.Distributions/Burr.htm#Maximum">Maximum</a></li>
<li><a href="../MathNet.Numerics.Distributions/Burr.htm#Mean">Mean</a></li>
<li><a href="../MathNet.Numerics.Distributions/Burr.htm#Median">Median</a></li>
@ -697,14 +691,14 @@
<h3 class="section">Public Properties</h3>
<div id="a" class="method">
<h4><span title="System.double">double</span> <strong>a</strong> get; </h4>
<div id="A" class="method">
<h4><span title="System.double">double</span> <strong>A</strong> get; </h4>
<div class="content">Gets the scale (a) of the distribution. Range: a > 0.
</div>
</div>
<div id="c" class="method">
<h4><span title="System.double">double</span> <strong>c</strong> get; </h4>
<div id="C" class="method">
<h4><span title="System.double">double</span> <strong>C</strong> get; </h4>
<div class="content">Gets the first shape parameter (c) of the distribution. Range: c > 0.
</div>
@ -715,8 +709,8 @@
</div>
</div>
<div id="k" class="method">
<h4><span title="System.double">double</span> <strong>k</strong> get; </h4>
<div id="K" class="method">
<h4><span title="System.double">double</span> <strong>K</strong> get; </h4>
<div class="content">Gets the second shape parameter (k) of the distribution. Range: k > 0.
</div>
@ -776,7 +770,7 @@
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@ -210,6 +201,9 @@
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@ -1059,7 +1053,7 @@ at the given probability.
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@ -210,6 +201,9 @@
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@ -881,7 +875,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -210,6 +201,9 @@
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@ -794,7 +788,7 @@ then have a chi distribution..
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@ -89,22 +89,13 @@
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@ -210,6 +201,9 @@
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@ -838,7 +832,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -89,22 +89,13 @@
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@ -210,6 +201,9 @@
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@ -881,7 +875,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -89,22 +89,13 @@
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@ -210,6 +201,9 @@
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@ -793,7 +787,7 @@ distributions. It is parameterized by two real numbers "lambda" and "nu". For <d
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@ -210,6 +201,9 @@
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@ -572,7 +566,7 @@ You can also leave out the last <var>x</var> component, and it will be compute
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@ -826,7 +820,7 @@ two positive parameters..
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@ -287,7 +281,7 @@
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<li><a href="../MathNet.Numerics.Distributions/InverseGaussian.htm#Estimate">Estimate</a></li>
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@ -401,8 +395,8 @@
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<div id="ICDF" class="method">
<h4><span title="System.double">double</span> <strong>ICDF</strong>(<span title="System.double">double</span> mu, <span title="System.double">double</span> lambda, <span title="System.double">double</span> p)</h4>
<div id="InvCDF" class="method">
<h4><span title="System.double">double</span> <strong>InvCDF</strong>(<span title="System.double">double</span> mu, <span title="System.double">double</span> lambda, <span title="System.double">double</span> p)</h4>
<div class="content">Computes the inverse cumulative distribution (CDF) of the distribution at p, i.e. solving for P(X ≤ x) = p.
@ -809,7 +803,7 @@ No closed form analytical expression exists, so this value is approximated numer
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@ -210,6 +201,9 @@
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@ -529,7 +523,7 @@ a Wishart random variable and inverting the matrix.
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@ -210,6 +201,9 @@
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@ -835,7 +829,7 @@ p(x) = \frac{1}{2 * scale} \exp{- |x - mean| / scale}..
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@ -210,6 +201,9 @@
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@ -954,7 +948,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -210,6 +201,9 @@
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@ -517,7 +511,7 @@ 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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@ -210,6 +201,9 @@
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@ -379,7 +373,7 @@ is defined.
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@ -210,6 +201,9 @@
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@ -610,7 +604,7 @@ as this is often impossible using floating point arithmetic. </p>
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@ -210,6 +201,9 @@
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@ -210,6 +201,9 @@
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@ -687,7 +681,7 @@ will be positive infinity. A completely degenerate NormalGamma distribution with
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@ -873,7 +867,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -210,6 +201,9 @@
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@ -797,7 +791,7 @@
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@ -210,6 +201,9 @@
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@ -841,7 +835,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -89,22 +89,13 @@
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@ -210,6 +201,9 @@
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<a href="../MathNet.Numerics.Distributions/LogNormal.htm">LogNormal</a>
@ -278,7 +272,7 @@
</div>
<div class="sub-header">
<div id="summary">Continuous Univariate Skewed Generalized Error Distribution (SGED).
Implements the univariate SSkewed Generalized Error Distribution. For details about this
Implements the univariate Skewed Generalized Error Distribution. For details about this
distribution, see.
It includes Laplace, Normal and Student-t distributions.
This is the <a href="../MathNet.Numerics.Distributions/SkewedGeneralizedT.htm">SkewedGeneralizedT</a> distribution with q=Inf. <blockquote class="remarks">
@ -725,7 +719,7 @@ with location=0.0, scale=1.0, skew=0.0 and p=2.0 (a standard normal distribution
</div>
</div>
<div id="Location" class="method">
<h4><span title="System.double">double</span> <strong>Location</strong> get; set;</h4>
<h4><span title="System.double">double</span> <strong>Location</strong> get; </h4>
<div class="content">Gets the location (μ) of the Skewed Generalized t-distribution.
</div>
@ -761,7 +755,7 @@ with location=0.0, scale=1.0, skew=0.0 and p=2.0 (a standard normal distribution
</div>
</div>
<div id="P" class="method">
<h4><span title="System.double">double</span> <strong>P</strong> get; set;</h4>
<h4><span title="System.double">double</span> <strong>P</strong> get; </h4>
<div class="content">Gets the parameter that controls the kurtosis of the distribution. Range: p > 0.
</div>
@ -773,13 +767,13 @@ with location=0.0, scale=1.0, skew=0.0 and p=2.0 (a standard normal distribution
</div>
</div>
<div id="Scale" class="method">
<h4><span title="System.double">double</span> <strong>Scale</strong> get; set;</h4>
<h4><span title="System.double">double</span> <strong>Scale</strong> get; </h4>
<div class="content">Gets the scale (σ) of the Skewed Generalized t-distribution. Range: σ > 0.
</div>
</div>
<div id="Skew" class="method">
<h4><span title="System.double">double</span> <strong>Skew</strong> get; set;</h4>
<h4><span title="System.double">double</span> <strong>Skew</strong> get; </h4>
<div class="content">Gets the skew (λ) of the Skewed Generalized t-distribution. Range: 1 > λ > -1.
</div>
@ -803,7 +797,7 @@ with location=0.0, scale=1.0, skew=0.0 and p=2.0 (a standard normal distribution
</div>
</div>
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@ -89,22 +89,13 @@
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@ -210,6 +201,9 @@
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<a href="../MathNet.Numerics.Distributions/LogNormal.htm">LogNormal</a>
@ -952,7 +946,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -210,6 +201,9 @@
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@ -898,7 +892,7 @@ For details about this distribution, see.
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@ -210,6 +201,9 @@
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@ -933,7 +927,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -210,6 +201,9 @@
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@ -901,7 +895,7 @@ at the given probability. This is also known as the quantile or percent point fu
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@ -89,22 +89,13 @@
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@ -210,6 +201,9 @@
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@ -286,7 +280,7 @@
<h3 class="section">Static Functions</h3>
<ul>
<li><a href="../MathNet.Numerics.Distributions/TruncatedPareto.htm#CDF">CDF</a></li>
<li><a href="../MathNet.Numerics.Distributions/TruncatedPareto.htm#ICDF">ICDF</a></li>
<li><a href="../MathNet.Numerics.Distributions/TruncatedPareto.htm#InvCDF">InvCDF</a></li>
<li><a href="../MathNet.Numerics.Distributions/TruncatedPareto.htm#IsValidParameterSet">IsValidParameterSet</a></li>
<li><a href="../MathNet.Numerics.Distributions/TruncatedPareto.htm#PDF">PDF</a></li>
<li><a href="../MathNet.Numerics.Distributions/TruncatedPareto.htm#PDFLn">PDFLn</a></li>
@ -383,8 +377,8 @@
</div>
</div>
<div id="ICDF" class="method">
<h4><span title="System.double">double</span> <strong>ICDF</strong>(<span title="System.double">double</span> scale, <span title="System.double">double</span> shape, <span title="System.double">double</span> truncation, <span title="System.double">double</span> p)</h4>
<div id="InvCDF" class="method">
<h4><span title="System.double">double</span> <strong>InvCDF</strong>(<span title="System.double">double</span> scale, <span title="System.double">double</span> shape, <span title="System.double">double</span> truncation, <span title="System.double">double</span> p)</h4>
<div class="content">Computes the inverse cumulative distribution (CDF) of the distribution at p, i.e. solving for P(X ≤ x) = p.
@ -824,7 +818,7 @@
</div>
</div>
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@ -210,6 +201,9 @@
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<li>
<a href="../MathNet.Numerics.Distributions/LogNormal.htm">LogNormal</a>
@ -840,7 +834,7 @@ For details about this distribution, see. <blockquote class="remarks">
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16
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@ -89,22 +89,13 @@
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@ -210,6 +201,9 @@
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<a href="../MathNet.Numerics.Distributions/LogNormal.htm">LogNormal</a>
@ -530,7 +524,7 @@ Applied Statistics, Vol. 21, No. 3 (1972), pp. 341-345
</div>
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@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
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@ -210,6 +201,9 @@
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@ -796,7 +790,7 @@ For details about this distribution, see.
</div>
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<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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@ -88,22 +88,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
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<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -209,6 +200,9 @@
</li>
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<a href="../MathNet.Numerics.Distributions/Laplace.htm">Laplace</a>
</li>
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<a href="../MathNet.Numerics.Distributions/Logistic.htm">Logistic</a>
</li>
<li>
<a href="../MathNet.Numerics.Distributions/LogNormal.htm">LogNormal</a>
@ -300,6 +294,7 @@
<li><a href="../MathNet.Numerics.Distributions/InverseGaussian.htm">InverseGaussian</a></li>
<li><a href="../MathNet.Numerics.Distributions/InverseWishart.htm">InverseWishart</a></li>
<li><a href="../MathNet.Numerics.Distributions/Laplace.htm">Laplace</a></li>
<li><a href="../MathNet.Numerics.Distributions/Logistic.htm">Logistic</a></li>
<li><a href="../MathNet.Numerics.Distributions/LogNormal.htm">LogNormal</a></li>
<li><a href="../MathNet.Numerics.Distributions/MatrixNormal.htm">MatrixNormal</a></li>
<li><a href="../MathNet.Numerics.Distributions/MeanPrecisionPair.htm">MeanPrecisionPair</a></li>
@ -330,7 +325,7 @@
</ul>
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@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
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<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
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<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
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<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -196,7 +187,7 @@ and then dividing the total by the number of loss periods. <blockquote class="re
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@ -89,22 +89,13 @@
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</li>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -219,7 +210,7 @@ looks at periods where the investment return was less than average return.
<div id="footer">
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13
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@ -88,22 +88,13 @@
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@ -147,7 +138,7 @@
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api/MathNet.Numerics.IntegralTransforms/Fourier.htm

@ -89,22 +89,13 @@
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -153,10 +144,6 @@
<h3 class="section">Static Functions</h3>
<ul>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#BluesteinForward">BluesteinForward</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#BluesteinForward">BluesteinForward</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#BluesteinInverse">BluesteinInverse</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#BluesteinInverse">BluesteinInverse</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#Forward">Forward</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#Forward">Forward</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#Forward">Forward</a></li>
@ -184,14 +171,6 @@
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#InverseMultiDim">InverseMultiDim</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#InverseReal">InverseReal</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#InverseReal">InverseReal</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#NaiveForward">NaiveForward</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#NaiveForward">NaiveForward</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#NaiveInverse">NaiveInverse</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#NaiveInverse">NaiveInverse</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#Radix2Forward">Radix2Forward</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#Radix2Forward">Radix2Forward</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#Radix2Inverse">Radix2Inverse</a></li>
<li><a href="../MathNet.Numerics.IntegralTransforms/Fourier.htm#Radix2Inverse">Radix2Inverse</a></li>
</ul>
@ -202,12 +181,9 @@
<h3 class="section">Public Static Functions</h3>
<div id="BluesteinForward" class="method">
<h4><span title="System.void">void</span> <strong>BluesteinForward</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Bluestein forward FFT for arbitrary sized sample vectors.
<div id="warning">
<b>Obsolete:</b> Use Forward instead. Will be dropped in version 5.0 and behave like Forward until then.
</div>
<div id="Forward" class="method">
<h4><span title="System.void">void</span> <strong>Forward</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> samples)</h4>
<div class="content">Applies the forward Fast Fourier Transform (FFT) to arbitrary-length sample vectors.
<div class="parameters">
@ -215,19 +191,14 @@
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> samples</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="BluesteinForward" class="method">
<h4><span title="System.void">void</span> <strong>BluesteinForward</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Bluestein forward FFT for arbitrary sized sample vectors.
<div id="warning">
<b>Obsolete:</b> Use Forward instead. Will be dropped in version 5.0 and behave like Forward until then.
</div>
<div id="Forward" class="method">
<h4><span title="System.void">void</span> <strong>Forward</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> samples)</h4>
<div class="content">Applies the forward Fast Fourier Transform (FFT) to arbitrary-length sample vectors.
<div class="parameters">
@ -235,55 +206,13 @@
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> samples</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="BluesteinInverse" class="method">
<h4><span title="System.void">void</span> <strong>BluesteinInverse</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> spectrum, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Bluestein inverse FFT for arbitrary sized sample vectors.
<div id="warning">
<b>Obsolete:</b> Use Inverse instead. Will be dropped in version 5.0 and behave like Inverse until then.
</div>
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> spectrum</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="BluesteinInverse" class="method">
<h4><span title="System.void">void</span> <strong>BluesteinInverse</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> spectrum, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Bluestein inverse FFT for arbitrary sized sample vectors.
<div id="warning">
<b>Obsolete:</b> Use Inverse instead. Will be dropped in version 5.0 and behave like Inverse until then.
</div>
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> spectrum</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="Forward" class="method">
<h4><span title="System.void">void</span> <strong>Forward</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> samples)</h4>
<h4><span title="System.void">void</span> <strong>Forward</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the forward Fast Fourier Transform (FFT) to arbitrary-length sample vectors.
@ -292,13 +221,15 @@
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> samples</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="Forward" class="method">
<h4><span title="System.void">void</span> <strong>Forward</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> samples)</h4>
<h4><span title="System.void">void</span> <strong>Forward</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the forward Fast Fourier Transform (FFT) to arbitrary-length sample vectors.
@ -307,6 +238,8 @@
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> samples</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
@ -329,23 +262,6 @@
</div>
</div>
</div>
<div id="Forward" class="method">
<h4><span title="System.void">void</span> <strong>Forward</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the forward Fast Fourier Transform (FFT) to arbitrary-length sample vectors.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> samples</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="Forward" class="method">
@ -367,16 +283,16 @@
</div>
</div>
<div id="Forward" class="method">
<h4><span title="System.void">void</span> <strong>Forward</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the forward Fast Fourier Transform (FFT) to arbitrary-length sample vectors.
<div id="Forward2D" class="method">
<h4><span title="System.void">void</span> <strong>Forward2D</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Matrix`1.htm">Matrix&lt;T&gt;</a> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the forward Fast Fourier Transform (FFT) to a two dimensional data in form of a matrix.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> samples</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.LinearAlgebra/Matrix`1.htm">Matrix&lt;T&gt;</a></code> samples</h6>
<p class="comments">Sample matrix, where the FFT is evaluated in place </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
@ -385,7 +301,7 @@
</div>
</div>
<div id="Forward2D" class="method">
<h4><span title="System.void">void</span> <strong>Forward2D</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> samplesRowWise, <span title="System.int">int</span> rows, <span title="System.int">int</span> columns, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<h4><span title="System.void">void</span> <strong>Forward2D</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> samplesRowWise, <span title="System.int">int</span> rows, <span title="System.int">int</span> columns, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the forward Fast Fourier Transform (FFT) to two dimensional sample data. <blockquote class="remarks">
Data available organized column by column instead of row by row can be processed directly by swapping the rows and columns arguments.
</blockquote>
@ -394,7 +310,7 @@
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> samplesRowWise</h6>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> samplesRowWise</h6>
<p class="comments">Sample data, organized row by row, where the FFT is evaluated in place </p>
<h6><code><span title="System.int">int</span></code> rows</h6>
<p class="comments">The number of rows. </p>
@ -408,7 +324,7 @@
</div>
</div>
<div id="Forward2D" class="method">
<h4><span title="System.void">void</span> <strong>Forward2D</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> samplesRowWise, <span title="System.int">int</span> rows, <span title="System.int">int</span> columns, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<h4><span title="System.void">void</span> <strong>Forward2D</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> samplesRowWise, <span title="System.int">int</span> rows, <span title="System.int">int</span> columns, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the forward Fast Fourier Transform (FFT) to two dimensional sample data. <blockquote class="remarks">
Data available organized column by column instead of row by row can be processed directly by swapping the rows and columns arguments.
</blockquote>
@ -417,7 +333,7 @@
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> samplesRowWise</h6>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> samplesRowWise</h6>
<p class="comments">Sample data, organized row by row, where the FFT is evaluated in place </p>
<h6><code><span title="System.int">int</span></code> rows</h6>
<p class="comments">The number of rows. </p>
@ -428,23 +344,6 @@
</div>
</div>
</div>
<div id="Forward2D" class="method">
<h4><span title="System.void">void</span> <strong>Forward2D</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Matrix`1.htm">Matrix&lt;T&gt;</a> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the forward Fast Fourier Transform (FFT) to a two dimensional data in form of a matrix.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><a href="../MathNet.Numerics.LinearAlgebra/Matrix`1.htm">Matrix&lt;T&gt;</a></code> samples</h6>
<p class="comments">Sample matrix, where the FFT is evaluated in place </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="ForwardMultiDim" class="method">
@ -488,17 +387,17 @@ For example, with two dimensions "rows" and "columns" the samples are assumed to
</div>
</div>
<div id="ForwardReal" class="method">
<h4><span title="System.void">void</span> <strong>ForwardReal</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.int">int</span> n, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<h4><span title="System.void">void</span> <strong>ForwardReal</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.int">int</span> n, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Packed Real-Complex forward Fast Fourier Transform (FFT) to arbitrary-length sample vectors.
Since for real-valued time samples the complex spectrum is conjugate-even (symmetry),
the spectrum can be fully reconstructed from the positive frequencies only (first half).
the spectrum can be fully reconstructed form the positive frequencies only (first half).
The data array needs to be N+2 (if N is even) or N+1 (if N is odd) long in order to support such a packed spectrum.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
<p class="comments">Data array of length N+2 (if N is even) or N+1 (if N is odd). </p>
<h6><code><span title="System.int">int</span></code> n</h6>
<p class="comments">The number of samples. </p>
@ -510,17 +409,17 @@ The data array needs to be N+2 (if N is even) or N+1 (if N is odd) long in order
</div>
</div>
<div id="ForwardReal" class="method">
<h4><span title="System.void">void</span> <strong>ForwardReal</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.int">int</span> n, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<h4><span title="System.void">void</span> <strong>ForwardReal</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.int">int</span> n, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Packed Real-Complex forward Fast Fourier Transform (FFT) to arbitrary-length sample vectors.
Since for real-valued time samples the complex spectrum is conjugate-even (symmetry),
the spectrum can be fully reconstructed form the positive frequencies only (first half).
the spectrum can be fully reconstructed from the positive frequencies only (first half).
The data array needs to be N+2 (if N is even) or N+1 (if N is odd) long in order to support such a packed spectrum.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
<p class="comments">Data array of length N+2 (if N is even) or N+1 (if N is odd). </p>
<h6><code><span title="System.int">int</span></code> n</h6>
<p class="comments">The number of samples. </p>
@ -553,16 +452,16 @@ followed by the negative frequencies wrapped around.
</div>
</div>
<div id="Inverse" class="method">
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="System.Single[]">Single[]</span> real, <span title="System.Single[]">Single[]</span> imaginary, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="System.Double[]">Double[]</span> real, <span title="System.Double[]">Double[]</span> imaginary, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the inverse Fast Fourier Transform (iFFT) to arbitrary-length sample vectors.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Single[]">Single[]</span></code> real</h6>
<h6><code><span title="System.Double[]">Double[]</span></code> real</h6>
<p class="comments">Real part of the sample vector, where the iFFT is evaluated in place. </p>
<h6><code><span title="System.Single[]">Single[]</span></code> imaginary</h6>
<h6><code><span title="System.Double[]">Double[]</span></code> imaginary</h6>
<p class="comments">Imaginary part of the sample vector, where the iFFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
@ -572,14 +471,14 @@ followed by the negative frequencies wrapped around.
</div>
</div>
<div id="Inverse" class="method">
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> spectrum, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> spectrum, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the inverse Fast Fourier Transform (iFFT) to arbitrary-length sample vectors.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> spectrum</h6>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> spectrum</h6>
<p class="comments">Spectrum data, where the iFFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
@ -589,14 +488,14 @@ followed by the negative frequencies wrapped around.
</div>
</div>
<div id="Inverse" class="method">
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> spectrum, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> spectrum, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the inverse Fast Fourier Transform (iFFT) to arbitrary-length sample vectors.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> spectrum</h6>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> spectrum</h6>
<p class="comments">Spectrum data, where the iFFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
@ -606,14 +505,14 @@ followed by the negative frequencies wrapped around.
</div>
</div>
<div id="Inverse" class="method">
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> spectrum)</h4>
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> spectrum)</h4>
<div class="content">Applies the inverse Fast Fourier Transform (iFFT) to arbitrary-length sample vectors.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> spectrum</h6>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> spectrum</h6>
<p class="comments">Spectrum data, where the iFFT is evaluated in place. </p>
</div>
@ -621,34 +520,34 @@ followed by the negative frequencies wrapped around.
</div>
</div>
<div id="Inverse" class="method">
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="System.Double[]">Double[]</span> real, <span title="System.Double[]">Double[]</span> imaginary, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> spectrum)</h4>
<div class="content">Applies the inverse Fast Fourier Transform (iFFT) to arbitrary-length sample vectors.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Double[]">Double[]</span></code> real</h6>
<p class="comments">Real part of the sample vector, where the iFFT is evaluated in place. </p>
<h6><code><span title="System.Double[]">Double[]</span></code> imaginary</h6>
<p class="comments">Imaginary part of the sample vector, where the iFFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> spectrum</h6>
<p class="comments">Spectrum data, where the iFFT is evaluated in place. </p>
</div>
</div>
</div>
<div id="Inverse" class="method">
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> spectrum)</h4>
<h4><span title="System.void">void</span> <strong>Inverse</strong>(<span title="System.Single[]">Single[]</span> real, <span title="System.Single[]">Single[]</span> imaginary, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Applies the inverse Fast Fourier Transform (iFFT) to arbitrary-length sample vectors.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> spectrum</h6>
<p class="comments">Spectrum data, where the iFFT is evaluated in place. </p>
<h6><code><span title="System.Single[]">Single[]</span></code> real</h6>
<p class="comments">Real part of the sample vector, where the iFFT is evaluated in place. </p>
<h6><code><span title="System.Single[]">Single[]</span></code> imaginary</h6>
<p class="comments">Imaginary part of the sample vector, where the iFFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
@ -758,7 +657,7 @@ For example, with two dimensions "rows" and "columns" the samples are assumed to
</div>
</div>
<div id="InverseReal" class="method">
<h4><span title="System.void">void</span> <strong>InverseReal</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.int">int</span> n, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<h4><span title="System.void">void</span> <strong>InverseReal</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.int">int</span> n, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Packed Real-Complex inverse Fast Fourier Transform (iFFT) to arbitrary-length sample vectors.
Since for real-valued time samples the complex spectrum is conjugate-even (symmetry),
the spectrum can be fully reconstructed form the positive frequencies only (first half).
@ -768,7 +667,7 @@ The data array needs to be N+2 (if N is even) or N+1 (if N is odd) long in order
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
<p class="comments">Data array of length N+2 (if N is even) or N+1 (if N is odd). </p>
<h6><code><span title="System.int">int</span></code> n</h6>
<p class="comments">The number of samples. </p>
@ -780,7 +679,7 @@ The data array needs to be N+2 (if N is even) or N+1 (if N is odd) long in order
</div>
</div>
<div id="InverseReal" class="method">
<h4><span title="System.void">void</span> <strong>InverseReal</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.int">int</span> n, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<h4><span title="System.void">void</span> <strong>InverseReal</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.int">int</span> n, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Packed Real-Complex inverse Fast Fourier Transform (iFFT) to arbitrary-length sample vectors.
Since for real-valued time samples the complex spectrum is conjugate-even (symmetry),
the spectrum can be fully reconstructed form the positive frequencies only (first half).
@ -790,7 +689,7 @@ The data array needs to be N+2 (if N is even) or N+1 (if N is odd) long in order
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
<p class="comments">Data array of length N+2 (if N is even) or N+1 (if N is odd). </p>
<h6><code><span title="System.int">int</span></code> n</h6>
<p class="comments">The number of samples. </p>
@ -799,192 +698,12 @@ The data array needs to be N+2 (if N is even) or N+1 (if N is odd) long in order
</div>
</div>
</div>
<div id="NaiveForward" class="method">
<h4><span title="System.Numerics.Complex[]">Complex[]</span> <strong>NaiveForward</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Naive forward DFT, useful e.g. to verify faster algorithms.
<div id="warning">
<b>Obsolete:</b> Use Forward instead. Will be dropped in version 5.0 and behave like Forward until then.
</div>
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> samples</h6>
<p class="comments">Time-space sample vector. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code></h6>
<p>Corresponding frequency-space vector. </p>
</div>
</div>
</div>
<div id="NaiveForward" class="method">
<h4><span title="MathNet.Numerics.Complex32[]">Complex32[]</span> <strong>NaiveForward</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Naive forward DFT, useful e.g. to verify faster algorithms.
<div id="warning">
<b>Obsolete:</b> Use Forward instead. Will be dropped in version 5.0 and behave like Forward until then.
</div>
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> samples</h6>
<p class="comments">Time-space sample vector. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code></h6>
<p>Corresponding frequency-space vector. </p>
</div>
</div>
</div>
<div id="NaiveInverse" class="method">
<h4><span title="System.Numerics.Complex[]">Complex[]</span> <strong>NaiveInverse</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> spectrum, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Naive inverse DFT, useful e.g. to verify faster algorithms.
<div id="warning">
<b>Obsolete:</b> Use Inverse instead. Will be dropped in version 5.0 and behave like Inverse until then.
</div>
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> spectrum</h6>
<p class="comments">Frequency-space sample vector. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code></h6>
<p>Corresponding time-space vector. </p>
</div>
</div>
</div>
<div id="NaiveInverse" class="method">
<h4><span title="MathNet.Numerics.Complex32[]">Complex32[]</span> <strong>NaiveInverse</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> spectrum, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Naive inverse DFT, useful e.g. to verify faster algorithms.
<div id="warning">
<b>Obsolete:</b> Use Inverse instead. Will be dropped in version 5.0 and behave like Inverse until then.
</div>
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> spectrum</h6>
<p class="comments">Frequency-space sample vector. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code></h6>
<p>Corresponding time-space vector. </p>
</div>
</div>
</div>
<div id="Radix2Forward" class="method">
<h4><span title="System.void">void</span> <strong>Radix2Forward</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Radix-2 forward FFT for power-of-two sized sample vectors.
<div id="warning">
<b>Obsolete:</b> Use Forward instead. Will be dropped in version 5.0 and behave like Forward until then.
</div>
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> samples</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="Radix2Forward" class="method">
<h4><span title="System.void">void</span> <strong>Radix2Forward</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> samples, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Radix-2 forward FFT for power-of-two sized sample vectors.
<div id="warning">
<b>Obsolete:</b> Use Forward instead. Will be dropped in version 5.0 and behave like Forward until then.
</div>
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> samples</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="Radix2Inverse" class="method">
<h4><span title="System.void">void</span> <strong>Radix2Inverse</strong>(<span title="MathNet.Numerics.Complex32[]">Complex32[]</span> spectrum, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Radix-2 inverse FFT for power-of-two sized sample vectors.
<div id="warning">
<b>Obsolete:</b> Use Inverse instead. Will be dropped in version 5.0 and behave like Inverse until then.
</div>
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="MathNet.Numerics.Complex32[]">Complex32[]</span></code> spectrum</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="Radix2Inverse" class="method">
<h4><span title="System.void">void</span> <strong>Radix2Inverse</strong>(<span title="System.Numerics.Complex[]">Complex[]</span> spectrum, <a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a> options)</h4>
<div class="content">Radix-2 inverse FFT for power-of-two sized sample vectors.
<div id="warning">
<b>Obsolete:</b> Use Inverse instead. Will be dropped in version 5.0 and behave like Inverse until then.
</div>
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Numerics.Complex[]">Complex[]</span></code> spectrum</h6>
<p class="comments">Sample vector, where the FFT is evaluated in place. </p>
<h6><code><a href="../MathNet.Numerics.IntegralTransforms/FourierOptions.htm">FourierOptions</a></code> options</h6>
<p class="comments">Fourier Transform Convention Options. </p>
</div>
</div>
</div>
<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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13
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@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
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<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
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<li>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -369,7 +360,7 @@
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13
api/MathNet.Numerics.IntegralTransforms/Hartley.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -212,7 +203,7 @@
<div id="footer">
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<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
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13
api/MathNet.Numerics.IntegralTransforms/HartleyOptions.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
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</li>
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<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -330,7 +321,7 @@
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13
api/MathNet.Numerics.IntegralTransforms/index.htm

@ -88,22 +88,13 @@
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<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
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</li>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -155,7 +146,7 @@
</div>
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13
api/MathNet.Numerics.Integration/DoubleExponentialTransformation.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
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</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
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</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -224,7 +215,7 @@ or derivative discontinuities and no poles inside the interval.
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@ -89,22 +89,13 @@
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -280,7 +271,7 @@
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13
api/MathNet.Numerics.Integration/GaussLegendreRule.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
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<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
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<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -406,7 +397,7 @@
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@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
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@ -393,7 +384,7 @@
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@ -89,22 +89,13 @@
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@ -221,7 +212,7 @@
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@ -88,22 +88,13 @@
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@ -159,7 +150,7 @@
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@ -89,22 +89,13 @@
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@ -443,7 +434,7 @@ The values are assumed to be sorted ascendingly by x.
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@ -89,22 +89,13 @@
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@ -310,7 +301,7 @@ WARNING: Works in-place and can thus causes the data array to be reordered.
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@ -271,7 +262,7 @@ solution vector and x is the unknown vector.
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<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
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@ -273,7 +264,7 @@
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@ -89,22 +89,13 @@
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@ -384,7 +375,7 @@ the preconditioner. </p>
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@ -89,22 +89,13 @@
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@ -298,7 +289,7 @@
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13
api/MathNet.Numerics.LinearAlgebra.Complex.Solvers/MlkBiCgStab.htm

@ -89,22 +89,13 @@
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@ -299,7 +290,7 @@ Krylov sub-space.
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13
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@ -89,22 +89,13 @@
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@ -265,7 +256,7 @@ solution vector and x is the unknown vector.
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@ -88,22 +88,13 @@
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@ -175,7 +166,7 @@
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api/MathNet.Numerics.LinearAlgebra.Complex/DenseMatrix.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
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@ -1557,7 +1548,7 @@ The ordering of the values is unspecified (not necessarily column-wise or row-wi
</div>
</div>
<div id="EnumerateColumnsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all columns of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the column index
and the second value being the value of the column at that index.
@ -1569,7 +1560,7 @@ and the second value being the value of the column at that index.
</div>
</div>
<div id="EnumerateColumnsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through a subset of all columns of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the column index
and the second value being the value of the column at that index.
@ -1589,7 +1580,7 @@ and the second value being the value of the column at that index.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, int, Complex>>">IEnumerable&lt;Tuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first two values being the row and column index
and the third value being the value of the element at that index.
@ -1602,7 +1593,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, int, Complex>>">IEnumerable&lt;Tuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first two values being the row and column index
and the third value being the value of the element at that index.
@ -1641,7 +1632,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateRowsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all rows of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the row index
and the second value being the value of the row at that index.
@ -1653,7 +1644,7 @@ and the second value being the value of the row at that index.
</div>
</div>
<div id="EnumerateRowsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through a subset of all rows of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the row index
and the second value being the value of the row at that index.
@ -4623,7 +4614,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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@ -89,22 +89,13 @@
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@ -877,7 +868,7 @@ Use ToArray instead if you always need an independent array.
</div>
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<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Complex>>">IEnumerable&lt;Tuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the vector and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the element index
and the second value being the value of the element at that index.
@ -890,7 +881,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Complex>>">IEnumerable&lt;Tuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the vector and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the element index
and the second value being the value of the element at that index.
@ -2636,7 +2627,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
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@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
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@ -1352,7 +1343,7 @@ The ordering of the values is unspecified (not necessarily column-wise or row-wi
</div>
</div>
<div id="EnumerateColumnsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all columns of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the column index
and the second value being the value of the column at that index.
@ -1364,7 +1355,7 @@ and the second value being the value of the column at that index.
</div>
</div>
<div id="EnumerateColumnsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through a subset of all columns of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the column index
and the second value being the value of the column at that index.
@ -1384,7 +1375,7 @@ and the second value being the value of the column at that index.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, int, Complex>>">IEnumerable&lt;Tuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first two values being the row and column index
and the third value being the value of the element at that index.
@ -1397,7 +1388,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, int, Complex>>">IEnumerable&lt;Tuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first two values being the row and column index
and the third value being the value of the element at that index.
@ -1436,7 +1427,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateRowsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through a subset of all rows of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the row index
and the second value being the value of the row at that index.
@ -1456,7 +1447,7 @@ and the second value being the value of the row at that index.
</div>
</div>
<div id="EnumerateRowsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all rows of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the row index
and the second value being the value of the row at that index.
@ -4421,7 +4412,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
</div>
</div>
<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

25
api/MathNet.Numerics.LinearAlgebra.Complex/Matrix.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -1203,7 +1194,7 @@ The ordering of the values is unspecified (not necessarily column-wise or row-wi
</div>
</div>
<div id="EnumerateColumnsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through a subset of all columns of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the column index
and the second value being the value of the column at that index.
@ -1223,7 +1214,7 @@ and the second value being the value of the column at that index.
</div>
</div>
<div id="EnumerateColumnsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all columns of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the column index
and the second value being the value of the column at that index.
@ -1235,7 +1226,7 @@ and the second value being the value of the column at that index.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, int, Complex>>">IEnumerable&lt;Tuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first two values being the row and column index
and the third value being the value of the element at that index.
@ -1248,7 +1239,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, int, Complex>>">IEnumerable&lt;Tuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first two values being the row and column index
and the third value being the value of the element at that index.
@ -1287,7 +1278,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateRowsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through a subset of all rows of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the row index
and the second value being the value of the row at that index.
@ -1307,7 +1298,7 @@ and the second value being the value of the row at that index.
</div>
</div>
<div id="EnumerateRowsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all rows of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the row index
and the second value being the value of the row at that index.
@ -4261,7 +4252,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
</div>
</div>
<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

25
api/MathNet.Numerics.LinearAlgebra.Complex/SparseMatrix.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -1549,7 +1540,7 @@ The ordering of the values is unspecified (not necessarily column-wise or row-wi
</div>
</div>
<div id="EnumerateColumnsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through a subset of all columns of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the column index
and the second value being the value of the column at that index.
@ -1569,7 +1560,7 @@ and the second value being the value of the column at that index.
</div>
</div>
<div id="EnumerateColumnsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateColumnsIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all columns of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the column index
and the second value being the value of the column at that index.
@ -1581,7 +1572,7 @@ and the second value being the value of the column at that index.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, int, Complex>>">IEnumerable&lt;Tuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first two values being the row and column index
and the third value being the value of the element at that index.
@ -1594,7 +1585,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, int, Complex>>">IEnumerable&lt;Tuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first two values being the row and column index
and the third value being the value of the element at that index.
@ -1633,7 +1624,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateRowsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>(<span title="System.int">int</span> index, <span title="System.int">int</span> length)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through a subset of all rows of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the row index
and the second value being the value of the row at that index.
@ -1653,7 +1644,7 @@ and the second value being the value of the row at that index.
</div>
</div>
<div id="EnumerateRowsIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Vector<Complex>>>">IEnumerable&lt;Tuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Vector<Complex>>>">IEnumerable&lt;ValueTuple&lt;int, Vector&lt;Complex&gt;&gt;&gt;</span> <strong>EnumerateRowsIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all rows of the matrix and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the row index
and the second value being the value of the row at that index.
@ -4606,7 +4597,7 @@ The maximum number of cells can be configured in the <a href="../MathNet.Numeri
</div>
</div>
<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

17
api/MathNet.Numerics.LinearAlgebra.Complex/SparseVector.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -845,7 +836,7 @@ Use ToArray instead if you always need an independent array.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Complex>>">IEnumerable&lt;Tuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the vector and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the element index
and the second value being the value of the element at that index.
@ -858,7 +849,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Complex>>">IEnumerable&lt;Tuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the vector and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the element index
and the second value being the value of the element at that index.
@ -2604,7 +2595,7 @@ The format string is ignored.
</div>
</div>
<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

17
api/MathNet.Numerics.LinearAlgebra.Complex/Vector.htm

@ -89,22 +89,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra/index.htm">MathNet.Numerics.Providers.LinearAlgebra</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.LinearAlgebra.OpenBlas/index.htm">MathNet.Numerics.Providers.LinearAlgebra.OpenBlas</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.SparseSolver/index.htm">MathNet.Numerics.Providers.SparseSolver</a>
@ -707,7 +698,7 @@ Use ToArray instead if you always need an independent array.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Complex>>">IEnumerable&lt;Tuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>()</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the vector and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the element index
and the second value being the value of the element at that index.
@ -720,7 +711,7 @@ The enumerator will include all values, even if they are zero.
</div>
</div>
<div id="EnumerateIndexed" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<Tuple<int, Complex>>">IEnumerable&lt;Tuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<h4><span title="System.Collections.Generic.IEnumerable<ValueTuple<int, Complex>>">IEnumerable&lt;ValueTuple&lt;int, Complex&gt;&gt;</span> <strong>EnumerateIndexed</strong>(<a href="../MathNet.Numerics.LinearAlgebra/Zeros.htm">Zeros</a> zeros)</h4>
<div class="content">Returns an IEnumerable that can be used to iterate through all values of the vector and their index. <blockquote class="remarks">
The enumerator returns a Tuple with the first value being the element index
and the second value being the value of the element at that index.
@ -2458,7 +2449,7 @@ The format string is ignored.
</div>
</div>
<div id="footer">
<p>Based on v4.15.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
</div>
</body>

13
api/MathNet.Numerics.LinearAlgebra.Complex/index.htm

@ -88,22 +88,13 @@
<a href="../MathNet.Numerics.Optimization.TrustRegion/index.htm">MathNet.Numerics.Optimization.TrustRegion</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Cuda/index.htm">MathNet.Numerics.Providers.Common.Cuda</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.Mkl/index.htm">MathNet.Numerics.Providers.Common.Mkl</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.Common.OpenBlas/index.htm">MathNet.Numerics.Providers.Common.OpenBlas</a>
<a href="../MathNet.Numerics.Providers/index.htm">MathNet.Numerics.Providers</a>
</li>
<li>
<a href="../MathNet.Numerics.Providers.FourierTransform/index.htm">MathNet.Numerics.Providers.FourierTransform</a>
</li>
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@ -167,7 +158,7 @@
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@ -89,22 +89,13 @@
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@ -271,7 +262,7 @@ solution vector and x is the unknown vector.
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