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CCFSG − CUTEr tool to evaluate constraint functions values and possibly gradients in sparse format. |
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CALL CCFSG( N, M, X, LC, C, NNZJ, LCJAC, CJAC, INDVAR, INDFUN, GRAD ) |
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The CCFSG subroutine evaluates the values of the constraint functions of the problem decoded into OUTSDIF.d at the point X, and possibly their gradients in the constrained minimization case. The gradients are stored in sparse format. |
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The arguments of CCFSG are as follows |
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N [in] - integer |
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the number of variables for the problem, |
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M [in] - integer |
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the total number of general constraints, |
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X [in] - real/double precision |
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an array which gives the current estimate of the solution of the problem, |
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LC [in] - integer |
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the actual declared dimension of C, with LC no smaller than M, |
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C [out] - real/double precision |
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an array which gives the values of the general constraint functions evaluated at X. The i-th component of C will contain the value of c_i (x), |
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NNZJ [out] - integer |
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the number of nonzeros in CJAC, |
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LCJAC [in] - integer |
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the actual declared dimensions of CJAC, INDVAR and INDFUN, |
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CJAC [out] - real/double precision |
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an array which gives the values of the nonzeros of the general constraint functions evaluated at X. The i-th entry of CJAC gives the value of the derivative with respect to variable INDVAR(i) of constraint function INDFUN(i), |
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INDVAR [out] - integer |
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an array whose i-th component is the index of the variable with respect to which CJAC(i) is the derivative, |
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INDFUN [out] - integer |
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an array whose i-th component is the index of the problem function of which CJAC(i) is the derivative, |
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GRAD [in] - logical |
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a logical variable which should be set .TRUE. if the gradient of the constraint functions are required and .FALSE. otherwise. |
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I. Bongartz, A.R. Conn, N.I.M. Gould, D. Orban and Ph.L. Toint |
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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. |