Find |
[Missing <summary> documentation for "T:Altaxo.Calc.FindMinimum"]
public static class FindMinimum
The FindMinimum type exposes the following members.
Name | Description | |
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OfFunction(FuncVectorDouble, Double, VectorDouble, Double, Int32) | Find vector x that minimizes the function f(x) using the Nelder-Mead Simplex algorithm. For more options and diagnostics consider to use NelderMeadSimplex directly. | |
OfFunction(FuncDouble, Double, Double, Double, Double, Double, Int32) | Find vector x that minimizes the function f(x) using the Nelder-Mead Simplex algorithm. For more options and diagnostics consider to use NelderMeadSimplex directly. | |
OfFunction(FuncDouble, Double, Double, Double, Double, Double, Double, Double, Int32) | Find vector x that minimizes the function f(x) using the Nelder-Mead Simplex algorithm. For more options and diagnostics consider to use NelderMeadSimplex directly. | |
OfFunction(FuncDouble, Double, Double, Double, Double, Double, Double, Double, Double, Double, Int32) | Find vector x that minimizes the function f(x) using the Nelder-Mead Simplex algorithm. For more options and diagnostics consider to use NelderMeadSimplex directly. | |
OfFunction(FuncDouble, Double, Double, Double, Double, Double, Double, Double, Double, Double, Double, Double, Int32) | Find vector x that minimizes the function f(x) using the Nelder-Mead Simplex algorithm. For more options and diagnostics consider to use NelderMeadSimplex directly. | |
OfFunctionConstrained | Find vector x that minimizes the function f(x), constrained within bounds, using the Broyden–Fletcher–Goldfarb–Shanno Bounded (BFGS-B) algorithm. The missing gradient is evaluated numerically (forward difference). For more options and diagnostics consider to use BfgsBMinimizer directly. | |
OfFunctionGradient(FuncVectorDouble, ValueTupleDouble, VectorDouble, VectorDouble, Double, Double, Double, Int32) | Find vector x that minimizes the function f(x) using the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm. For more options and diagnostics consider to use BfgsMinimizer directly. An alternative routine using conjugate gradients (CG) is available in ConjugateGradientMinimizer. | |
OfFunctionGradient(FuncVectorDouble, Double, FuncVectorDouble, VectorDouble, VectorDouble, Double, Double, Double, Int32) | Find vector x that minimizes the function f(x) using the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm. For more options and diagnostics consider to use BfgsMinimizer directly. An alternative routine using conjugate gradients (CG) is available in ConjugateGradientMinimizer. | |
OfFunctionGradientConstrained(FuncVectorDouble, ValueTupleDouble, VectorDouble, VectorDouble, VectorDouble, VectorDouble, Double, Double, Double, Int32) | Find vector x that minimizes the function f(x), constrained within bounds, using the Broyden–Fletcher–Goldfarb–Shanno Bounded (BFGS-B) algorithm. For more options and diagnostics consider to use BfgsBMinimizer directly. | |
OfFunctionGradientConstrained(FuncVectorDouble, Double, FuncVectorDouble, VectorDouble, VectorDouble, VectorDouble, VectorDouble, Double, Double, Double, Int32) | Find vector x that minimizes the function f(x), constrained within bounds, using the Broyden–Fletcher–Goldfarb–Shanno Bounded (BFGS-B) algorithm. For more options and diagnostics consider to use BfgsBMinimizer directly. | |
OfFunctionGradientHessian(FuncVectorDouble, ValueTupleDouble, VectorDouble, MatrixDouble, VectorDouble, Double, Int32) | Find vector x that minimizes the function f(x) using the Newton algorithm. For more options and diagnostics consider to use NewtonMinimizer directly. | |
OfFunctionGradientHessian(FuncVectorDouble, Double, FuncVectorDouble, VectorDouble, FuncVectorDouble, MatrixDouble, VectorDouble, Double, Int32) | Find vector x that minimizes the function f(x) using the Newton algorithm. For more options and diagnostics consider to use NewtonMinimizer directly. | |
OfScalarFunction | Find vector x that minimizes the function f(x) using the Nelder-Mead Simplex algorithm. For more options and diagnostics consider to use NelderMeadSimplex directly. | |
OfScalarFunctionConstrained | Find value x that minimizes the scalar function f(x), constrained within bounds, using the Golden Section algorithm. For more options and diagnostics consider to use GoldenSectionMinimizer directly. |