IMSL C# Numerical Library

MinUnconMultiVar Members

MinUnconMultiVar overview

Public Instance Constructors

MinUnconMultiVar Constructor Unconstrained minimum constructor for a function of n variables of type double.

Public Instance Properties

Digits The number of good digits in the function.
ErrorStatus The non-fatal error status.
FalseConvergenceToleranceObsolete. The false convergence tolerance.
Fscale The function scaling value for scaling the gradient.
GradientTolerance The gradient tolerance used to compute the gradient.
Ihess The Hessian initialization parameter.
Iterations The number of iterations used to compute a minimum.
MaximumStepsize The maximum allowable stepsize to use.
MaxIterations The maximum number of iterations allowed.
RelativeToleranceObsolete. The relative function tolerance.
StepTolerance The scaled step tolerance to use when changing x.

Public Instance Methods

ComputeMin Return the minimum point of a function of n variables of type double using a finite-difference gradient or using a user-supplied gradient.
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.
SetGuess Sets the initial guess of the minimum point of the input function.
SetXscale Sets the diagonal scaling matrix for the variables.
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

MinUnconMultiVar Class | Imsl.Math Namespace | Finite-difference Example | Gradient Example