public MinConGenLin(
	MinConGenLinIFunction fcn,
	int nvar,
	int ncon,
	int neq,
	double[] a,
	double[] b,
	double[] lowerBound,
	double[] upperBound
)

Public Sub New ( 
	fcn As MinConGenLinIFunction,
	nvar As Integer,
	ncon As Integer,
	neq As Integer,
	a As Double(),
	b As Double(),
	lowerBound As Double(),
	upperBound As Double()
)

public:
MinConGenLin(
	MinConGenLinIFunction^ fcn, 
	int nvar, 
	int ncon, 
	int neq, 
	array<double>^ a, 
	array<double>^ b, 
	array<double>^ lowerBound, 
	array<double>^ upperBound
)

new : 
        fcn : MinConGenLinIFunction * 
        nvar : int * 
        ncon : int * 
        neq : int * 
        a : float[] * 
        b : float[] * 
        lowerBound : float[] * 
        upperBound : float[] -> MinConGenLin

Parameters

fcn

Type: Imsl.MathMinConGenLinIFunction
The user-supplied MinConGenLin.IFunction to be minimized.

nvar

Type: SystemInt32
An int scalar containing the number of variables.

ncon

Type: SystemInt32
An int scalar containing the number of linear constraints (excluding simple bounds).

neq

Type: SystemInt32
An int scalar containing the number of linear equality constraints.

a

Type: SystemDouble
A double array containing the equality constraint gradients in the first neq rows followed by the inequality constraint gradients. a.length = ncon * nvar.

b

Type: SystemDouble
A double array containing the right-hand sides of the linear constraints.

lowerBound

Type: SystemDouble
A double array containing the lower bounds on the variables. lowerBound.length = nvar.

upperBound

Type: SystemDouble
A double array containing the upper bounds on the variables. upperBound.length = nvar.

Reference