IMSL C# Numerical Library

NonlinLeastSquares Members

NonlinLeastSquares overview

Public Instance Constructors

NonlinLeastSquares Constructor Creates an object to solve a nonlinear least squares problem.

Public Instance Properties

AbsoluteTolerance The absolute function tolerance.
Digits The number of good digits in the function.
ErrorStatus Get information about the performance of NonlinLeastSquares.
FalseConvergenceTolerance The false convergence tolerance.
GradientTolerance The gradient tolerance used to compute the gradient.
InitialTrustRegion The initial trust region radius.
MaximumIterations The maximum number of iterations allowed.
MaximumStepsize The maximum allowable stepsize to use.
RelativeTolerance The relative function tolerance.
StepTolerance The step tolerance used to step between two points.

Public Instance Methods

Equals (inherited from Object) Determines whether the specified Object is equal to the current Object.
GetHashCode (inherited from Object) Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table.
GetType (inherited from Object) Gets the Type of the current instance.
SetFscale Sets the diagonal scaling matrix for the functions.
SetGuess Sets the initial guess of the minimum point of the input function.
SetXscale Set the diagonal scaling matrix for the variables.
Solve Solve a nonlinear least-squares problem using a modified Levenberg-Marquardt algorithm and a Jacobian.
ToString (inherited from Object) Returns a String that represents the current Object.

Protected Instance Methods

Finalize (inherited from Object) Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
MemberwiseClone (inherited from Object) Creates a shallow copy of the current Object.

See Also

NonlinLeastSquares Class | Imsl.Math Namespace | Finite Differences Example | Jacobian Example