Routine |
Mark of Introduction |
Purpose |
---|---|---|
h02bff | 16 | nagf_mip_ilp_mpsx Interpret MPSX data file defining IP or LP problem, optimize and print solution |
h02bkf | 29.3 (Experimental) | nagf_mip_handle_solve_milp Mixed integer linear programming (MILP), large-scale, branch and bound method |
h02buf | 16 | nagf_mip_ilp_mpsx_convert Convert MPSX data file defining IP or LP problem to format required by h02bbf or e04mff/e04mfa |
h02bvf | 16 | nagf_mip_ilp_print Print IP or LP solutions with user-specified names for rows and columns |
h02cbf | 19 | nagf_mip_iqp_dense Integer QP problem (dense) |
h02ccf | 19 | nagf_mip_iqp_dense_optfile Read optional parameter values for h02cbf from external file |
h02cdf | 19 | nagf_mip_iqp_dense_optstr Supply optional parameter values to h02cbf |
h02cef | 19 | nagf_mip_iqp_sparse Integer LP or QP problem (sparse), using e04nkf/e04nka |
h02cff | 19 | nagf_mip_iqp_sparse_optfile Read optional parameter values for h02cef from external file |
h02cgf | 19 | nagf_mip_iqp_sparse_optstr Supply optional parameter values to h02cef |
h02daf | 25 | nagf_mip_sqp Mixed integer nonlinear programming |
h02zkf | 25 | nagf_mip_optset Option setting routine for h02daf |
h02zlf | 25 | nagf_mip_optget Option getting routine for h02daf |
h03abf | 4 | nagf_mip_transportation Transportation problem, modified ‘stepping stone’ method |
h03adf | 18 | nagf_mip_shortestpath Shortest path problem, Dijkstra's algorithm |
h03bbf | 25 | nagf_mip_tsp_simann Travelling Salesman Problem, simulated annealing |
h05aaf | 24 | nagf_mip_best_subset_given_size_revcomm Best subsets of size (reverse communication) |
h05abf | 24 | nagf_mip_best_subset_given_size Best subsets of size (direct communication) |
h02bbf | 14
(Deprecated) |
nagf_mip_ilp_dense Integer LP problem (dense) |
h02bzf | 15
(Deprecated) |
nagf_mip_ilp_info Integer programming solution, extracts further information on solution obtained by h02bbf |