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📄 glpkparams.m

📁 This routine calls the glpk library to solve a LP/MIP problem. A typical LP problem has following s
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% GLPKMEX Parameters list % (C) 2001-2005 Nicolo' Giorgetti.% % % This document describes all control parameters currently implemented in the GLPKMEX, a % Matlab MEX interface for the GLPK library. Symbolic names of control parameters and % corresponding codes of GLPK are given on the left. Types, default values, and descriptions are % given on the right. % % -----------------------% 1 Integer parameters % -----------------------%% msglev	      type: integer, default: 1  (LPX_K_MSGLEV)%              Level of messages output by solver routines: %                 0 no output %                 1 error messages only %                 2 normal output %                 3 full output (includes informational messages) %% scale        type: integer, default: 1 (LPX_K_SCALE)%              Scaling option: %                 0 no scaling %                 1 equilibration scaling %                 2 geometric mean scaling, then equilibration scaling %                  % dual	      type: integer, default: 0 (LPX_K_DUAL)%              Dual simplex option: %                 0 do not use the dual simplex %                 1 if initial basic solution is dual feasible, use the dual simplex %                     % price	      type: integer, default: 1 (LPX_K_PRICE)%              Pricing option (for both primal and dual simplex): %                 0 textbook pricing %                 1 steepest edge pricing %                  % round	      type: integer, default: 0 (LPX_K_ROUND)	%              Solution rounding option: %                 0 report all primal and dual values "as is" %                 1 replace tiny primal and dual values by exact zero %                  % itlim	      type: integer, default: -1 (LPX_K_ITLIM)	%              Simplex iterations limit. If this value is positive, it is decreased by one each %              time when one simplex iteration has been performed, and reaching zero %              value signals the solver to stop the search. Negative value means no %              iterations limit. %% itcnt        type: integer, initial: 0 (LPX_K_ITCNT) %              Simplex iterations count.This count is increased by one %              each time when one simplex iteration has beenperformed. %               % outfrq       type: integer, default: 200 (LPX_K_OUTFRQ)%              Output frequency, in iterations. This parameter specifies %              how frequently the solver sends information about the solution %              to the standard output. %           % branch       type: integer, default: 2 (LPX_K_BRANCH) %              Branching heuristic option (for MIP only):%                 0 branch on the first variable %                 1 branch on the last variable %                 2 branch using a heuristic by Driebeck and Tomlin %% btrack	      type: integer, default: 2 (LPX_K_BTRACK)	%              Backtracking heuristic option (for MIP only): %                 0 depth first search %                 1 breadth first search %                 2 backtrack using the best projection heuristic %                  % presol	      type: int, default: 1 (LPX_K_PRESOL)	%              If this flag is set, the routine lpx_simplex solves the %              problem using the built-in LP presolver. Otherwise the LP %               presolver is not used. % % % -----------------------% 2 Real parameters % -----------------------%% relax	      type: real, default: 0.07 (LPX_K_RELAX)	%              Relaxation parameter used in the ratio test. If it is zero, the %              textbook ratio test is used. If it is non-zero (should be positive), %              Harris' two-pass ratio test is used. In the latter case on the first %              pass of the ratio test basic variables (in  the case of primal simplex) %              or reduced costs of non-basic variables (in the case of dual simplex) %              are allowed to slightly violate their bounds, but not more than %              (RELAX 

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