Solves linearly constrained linear least-squares problems and convex quadratic programming problems. It is not intended for large sparse problems. Classes : D9b1 . Least squares (L-2) solution of singular, overdetermined or underdetermined systems of linear equations with constraints G2a1 . Linear programming with a dense matrix of constraints G2e1 . Quadratic programming for positive definite Hessians (i.e., convex problems) G4d . Find feasible point for optimization Type : C subroutine in NAGC library (E04 sublibrary). Access : Proprietary. Many implementations available. Precision: Double. Note : This procedure may also be invoked using the name e04ncc. Usage : void nag_opt_lin_lsq(Integer m, Integer n, Integer nclin, double a[], Integer tda, double bl[], double bu[], double cvec[], double b[], double h[], Integer tdh, Integer kx[], double x[], double *objf, Nag_E04_Opt *options, Nag_Comm *comm, NagError *fail) See also : nag_opt_lp (e04mfc), nag_opt_init (e04xxc), nag_opt_read (e04xyc), nag_opt_free (e04xzc) Details : Documentation Example Example-input Example-output Local-details Sites : (1) ITL
ITL: Unix Workstation Network, National Institute of Standards and Technology (NIST), Gaithersburg, MD. Available to NIST staff. Precision: Double. Note : This procedure may also be invoked using the name e04ncc. Access available only to NIST staff on internal Unix systems. They may access this package provided the /itl tree is cross-mounted. Link : cc -I/itl/links/generic/include -o prog prog.c -L/itl/links/generic/{lib lib32 lib64}{/mips3 /mips4} -lnagc -lm Local-details: cat /itl/apps/nagclib-6/docs/implementation Example : cat /itl/apps/nagclib-6/clsol06da/examples/source/e04ncce.c Example-input: cat /itl/apps/nagclib-6/clsol06da/examples/data/e04ncce.d Example-outpu: cat /itl/apps/nagclib-6/clsol06da/examples/results/e04ncce.r Documentation: acroread /itl/apps/nagclib-6/docs/NAGdoc/cl/pdf/E04/e04ncc_cl05.pdf
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