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NLFit Class

Functions for nonlinear minimization.
Inheritance Hierarchy
SystemObject
  Altaxo.Calc.RegressionNLFit

Namespace: Altaxo.Calc.Regression
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3448.0 (4.8.3448.0)
Syntax
C#
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public class NLFit

The NLFit type exposes the following members.

Constructors
 NameDescription
Public methodNLFitInitializes a new instance of the NLFit class
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Methods
 NameDescription
Public methodStatic memberComputeCovariances Computes parameter covariances at a given parameter set.
Public methodStatic memberenorm(Int32, Double) given an n-vector x, this function calculates the euclidean norm of x.
Public methodStatic memberenorm(Int32, Double, Int32)Given an n-vector x, this function calculates the euclidean norm of x.
Public methodEqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
Public methodStatic memberfdjac2 This subroutine computes a forward-difference approximation to the m by n Jacobian matrix associated with a specified problem of m functions in n variables.
Protected methodFinalizeAllows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object)
Public methodGetHashCodeServes as the default hash function.
(Inherited from Object)
Public methodGetTypeGets the Type of the current instance.
(Inherited from Object)
Public methodStatic memberLevenbergMarquardtFit(NLFitLMFunction, Double, Double, Double, CancellationToken, Int32) Minimizes the sum of squares of m nonlinear functions in n variables using the Levenberg-Marquardt algorithm.
Public methodStatic memberLevenbergMarquardtFit(NLFitLMFunction, Double, Double, Double, Int32, Int32, Double, Double, Int32, Double, Double, Double, Double, Double, CancellationToken) Minimizes the sum of squares of m nonlinear functions in n variables using the Levenberg-Marquardt algorithm, using caller-provided work arrays.
Public methodStatic memberLevenbergMarquardtFit(NLFitLMFunction, Double, Double, Double, Double, Double, Int32, Double, Double, Int32, Double, Int32, Int32, Int32, Double, Int32, Int32, Double, Double, Double, Double, Double, CancellationToken) Most general interface to the Levenberg-Marquardt algorithm.
Public methodStatic memberlmpar Computes the Levenberg-Marquardt parameter for a constrained least-squares subproblem.
Protected methodMemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object)
Public methodStatic memberqrsolve Solves the constrained least-squares problem using information from a QR factorization with column pivoting.
Public methodStatic membersqr Returns the square of x.
Public methodToStringReturns a string that represents the current object.
(Inherited from Object)
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See Also