Nonlinear programming solver constructor.

Determines whether the specified Object is equal to the current Object.

Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.

Returns the constraint residuals.

Serves as a hash function for a particular type.

Returns the Lagrange multiplier estimates of the constraints.

Returns the last computed solution.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Sets the initial guess of the minimum point of the input function.

Sets the lower bounds on the variables.

The internal scaling of the variables.

Sets the upper bounds on the variables.

Solve a general nonlinear programming problem using the successive quadratic programming algorithm with a finite-difference gradient or with a user-supplied gradient.

Returns a String that represents the current Object.

The binding threshold for constraints.

The amount by which bounds may be violated during numerical differentiation.

The type of numerical differentiation to be used.

The relative precision of the function evaluation routine.

The relative precision in gradients.

The maximum number of iterations allowed.

The error allowed in the multipliers.

Perform the parallel calculations with the maximum possible number of processors set to NumberOfProcessors.

Enable or disable performing MinConNLP.IFunction.F in parallel.

The universal bound for describing how much the unscaled penalty-term may deviate from zero.

The scaling bound for the internal automatic scaling of the objective function.

Defines allowable constraint violations of the final accepted result.