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Unconstrained minimum constructor for a function of n variables of type double . |
![]() | The number of good digits in the function. |
![]() | The non-fatal error status. |
![]() | Obsolete. The false convergence tolerance. |
![]() | The function scaling value for scaling the gradient. |
![]() | The gradient tolerance used to compute the gradient. |
![]() | The Hessian initialization parameter. |
![]() | The number of iterations used to compute a minimum. |
![]() | The maximum allowable stepsize to use. |
![]() | The maximum number of iterations allowed. |
![]() | Obsolete. The relative function tolerance. |
![]() | The scaled step tolerance to use when changing x. |
![]() | Return the minimum point of a function of n variables of type double using a finite-difference gradient or using a user-supplied gradient. |
![]() | Determines whether the specified Object is equal to the current Object. |
![]() | Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table. |
![]() | Gets the Type of the current instance. |
![]() | Sets the initial guess of the minimum point of the input function. |
![]() | Sets the diagonal scaling matrix for the variables. |
![]() | Returns a String that represents the current Object. |
![]() | Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. |
![]() | Creates a shallow copy of the current Object. |
MinUnconMultiVar Class | Imsl.Math Namespace | Finite-difference Example | Gradient Example