MinUnconMultiVar Constructor | Unconstrained minimum constructor for a function of n variables of type double . |
Digits | The number of good digits in the function. |
ErrorStatus | The non-fatal error status. |
FalseConvergenceTolerance | Obsolete. 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. |
RelativeTolerance | Obsolete. The relative function tolerance. |
StepTolerance | The scaled step tolerance to use when changing x. |
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. |
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. |
MinUnconMultiVar Class | Imsl.Math Namespace | Finite-difference Example | Gradient Example