Scilab Function

ccfsg - Evaluate constraint functions and possibly their gradients, sparse case

Calling Sequence

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

Parameters

Description

c=ccfsg(x) returns the vector of constraint values in c.

[c,cjac]=ccfsg(x) returns the sparse constraint Jacobian matrix in cjac. The i,j-th nonzero entry in cjac corresponds to the partial derivative of the i-th constraint with respect to the j-th variable.

[c,cjac]=ccfsg(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. If jtrans is not given, it is assumed to be 0.

Author

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