ccifsg

CCIFSG − CUTEr tool to evaluate a single constraint function value and possibly gradient in sparse format.

CALL CCIFSG( N, ICON, X, CI, NNZSGC, LSGCI, SGCI, IVSGCI, GRAD )

The CCIFSG subroutine evaluates the value of a particular constraint function of the problem decoded into OUTSDIF.d at the point X, and possibly its gradient in the constrained minimization case. The gradient is stored in sparse format.

The arguments of CCIFSG are as follows

N [in] - integer

the number of variables for the problem,

ICON [in] - integer

the index of the constraint function to be evaluated,

X [in] - real/double precision

an array which gives the current estimate of the solution of the problem,

CI [out] - real/double precision

the value of constraint function ICON at X,

NNZSGC [out] - integer

the number of nonzeros in SGCI,

LSGCI [in] - integer

the declared length of SGCI,

SGCI [out] - real/double precision

an array which gives the nonzeros of the gradient of constraint function ICON evaluated at X. The i-th entry of SGCI gives the value of the derivative with respect to variable IVSGCI(i) of function ICON.

IVSGCI [out] - integer

an array whose i-th component is the index of the variable with respect to which SGCI(i) is the derivative,

GRAD [in] - logical

a logical variable which should be set .TRUE. if the gradient of the constraint functions are required and .FALSE. otherwise.

I. Bongartz, A.R. Conn, N.I.M. Gould, D. Orban and Ph.L. Toint

CUTEr (and SifDec): A Constrained and Unconstrained Testing Environment, revisited, N.I.M. Gould, D. Orban and Ph.L. Toint, ACM TOMS, 29:4, pp.373-394, 2003.

CUTE: Constrained and Unconstrained Testing Environment, I. Bongartz, A.R. Conn, N.I.M. Gould and Ph.L. Toint, TOMS, 21:1, pp.123-160, 1995.