Scilab Function

ccfg - Evaluate constraint functions and possibly their gradients

Calling Sequence

[c,cjac] = ccfg(x,jtrans)

Parameters

Description

CCFG Evaluate constraint functions and possibly their gradients at x. c=ccfg(x) returns the vector of constraint values in C. [c,cjac]=ccfg(x) also returns the constraint Jacobian matrix in cjac. cjac(i,j) contains the partial derivative of the i-th constraint with respect to the j-th variable. [c,cjac]=ccfg(x,jtrans), with jtrans set to 1, gives the transpose of the Jacobian, where the i,j-th component is the partial derivative of the j-th constraint with respect to the i-th variable.

Examples

Authors

Bibliography

Based on CUTEr authored by

Nicholas I.M. Gould - n.gould@rl.ac.uk - RAL

Dominique Orban - orban@ece.northwestern.edu - Northwestern

Philippe L. Toint - Philippe.Toint@fundp.ac.be - FUNDP

see http://hsl.rl.ac.uk/cuter-www