The MinConNLP type exposes the following members.

Constructors

NameDescription
MinConNLP
Nonlinear programming solver constructor.

Methods

NameDescription
Equals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
Finalize
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.)
GetConstraintResiduals
Returns the constraint residuals.
GetHashCode
Serves as a hash function for a particular type.
(Inherited from Object.)
GetLagrangeMultiplierEst
Returns the Lagrange multiplier estimates of the constraints.
GetSolution
Returns the last computed solution.
GetType
Gets the Type of the current instance.
(Inherited from Object.)
MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
SetGuess
Sets the initial guess of the minimum point of the input function.
SetXlowerBound
Sets the lower bounds on the variables.
SetXscale
The internal scaling of the variables.
SetXupperBound
Sets the upper bounds on the variables.
Solve
Solve a general nonlinear programming problem using the successive quadratic programming algorithm with a finite-difference gradient or with a user-supplied gradient.
ToString
Returns a String that represents the current Object.
(Inherited from Object.)

Properties

NameDescription
BindingThreshold
The binding threshold for constraints.
BoundViolationBound
The amount by which bounds may be violated during numerical differentiation.
DifferentiationType
The type of numerical differentiation to be used.
FunctionPrecision
The relative precision of the function evaluation routine.
GradientPrecision
The relative precision in gradients.
MaximumIterations
The maximum number of iterations allowed.
MultiplierError
The error allowed in the multipliers.
NumberOfProcessors
Perform the parallel calculations with the maximum possible number of processors set to NumberOfProcessors.
Parallel
Enable or disable performing MinConNLP.IFunction.F in parallel.
PenaltyBound
The universal bound for describing how much the unscaled penalty-term may deviate from zero.
ScalingBound
The scaling bound for the internal automatic scaling of the objective function.
ViolationBound
Defines allowable constraint violations of the final accepted result.

See Also