The MOSEK Python optimizer API manual Version 7.0 (Revision 141)

Optimizer API for Python - Documentation - Mosek Optimizer API for Python - Documentation - Mosek

25.11.2015 Views

402 APPENDIX B. PARAMETERS • dparam.intpnt nl tol dfeas. Dual feasibility tolerance used when a nonlinear model is solved. • dparam.intpnt nl tol mu red. Relative complementarity gap tolerance. • dparam.intpnt nl tol near rel. Nonlinear solver optimality tolerance parameter. • dparam.intpnt nl tol pfeas. Primal feasibility tolerance used when a nonlinear model is solved. Relative gap termination tolerance for nonlinear prob- • dparam.intpnt nl tol rel gap. lems. • dparam.intpnt tol dfeas. Dual feasibility tolerance used for linear and quadratic optimization problems. • dparam.intpnt tol infeas. Nonlinear solver infeasibility tolerance parameter. • dparam.intpnt tol mu red. Relative complementarity gap tolerance. • dparam.intpnt tol pfeas. Primal feasibility tolerance used for linear and quadratic optimization problems. • dparam.intpnt tol rel gap. Relative gap termination tolerance. • dparam.lower obj cut. Objective bound. • dparam.lower obj cut finite trh. Objective bound. • dparam.mio disable term time. Certain termination criteria is disabled within the mixedinteger optimizer for period time specified by the parameter. • iparam.mio max num branches. Maximum number of branches allowed during the branch and bound search. • iparam.mio max num solutions. Controls how many feasible solutions the mixed-integer optimizer investigates. • dparam.mio max time. Time limit for the mixed-integer optimizer. • dparam.mio near tol rel gap. The mixed-integer optimizer is terminated when this tolerance is satisfied. • dparam.mio rel gap const. This value is used to compute the relative gap for the solution to an integer optimization problem. • dparam.mio tol rel gap. optimizer. • dparam.optimizer max time. Solver time limit. Relative optimality tolerance employed by the mixed-integer • iparam.sim max iterations. Maximum number of iterations that can be used by a simplex optimizer. • dparam.upper obj cut. Objective bound. • dparam.upper obj cut finite trh. Objective bound. • Integer parameters • Double parameters • String parameters

B.1. DPARAM: DOUBLE PARAMETERS 403 B.1 dparam: Double parameters B.1.1 dparam.ana sol infeas tol Corresponding constant: dparam.ana sol infeas tol Description: If a constraint violates its bound with an amount larger than this value, the constraint name, index and violation will be printed by the solution analyzer. Possible Values: Any number between 0.0 and +inf. Default value: 1e-6 B.1.2 dparam.basis rel tol s Corresponding constant: dparam.basis rel tol s Description: Maximum relative dual bound violation allowed in an optimal basic solution. Possible Values: Any number between 0.0 and +inf. Default value: 1.0e-12 B.1.3 dparam.basis tol s Corresponding constant: dparam.basis tol s Description: Maximum absolute dual bound violation in an optimal basic solution. Possible Values: Any number between 1.0e-9 and +inf. Default value: 1.0e-6

402 APPENDIX B. PARAMETERS<br />

• dparam.intpnt nl tol dfeas. Dual feasibility tolerance used when a nonlinear model is<br />

solved.<br />

• dparam.intpnt nl tol mu red. Relative complementarity gap tolerance.<br />

• dparam.intpnt nl tol near rel. Nonlinear solver optimality tolerance parameter.<br />

• dparam.intpnt nl tol pfeas. Primal feasibility tolerance used when a nonlinear model is<br />

solved.<br />

Relative gap termination tolerance for nonlinear prob-<br />

• dparam.intpnt nl tol rel gap.<br />

lems.<br />

• dparam.intpnt tol dfeas. Dual feasibility tolerance used for linear and quadratic optimization<br />

problems.<br />

• dparam.intpnt tol infeas. Nonlinear solver infeasibility tolerance parameter.<br />

• dparam.intpnt tol mu red. Relative complementarity gap tolerance.<br />

• dparam.intpnt tol pfeas. Primal feasibility tolerance used for linear and quadratic optimization<br />

problems.<br />

• dparam.intpnt tol rel gap. Relative gap termination tolerance.<br />

• dparam.lower obj cut. Objective bound.<br />

• dparam.lower obj cut finite trh. Objective bound.<br />

• dparam.mio disable term time. Certain termination criteria is disabled within the mixedinteger<br />

<strong>optimizer</strong> for period time specified by the parameter.<br />

• iparam.mio max num branches. Maximum number of branches allowed during the branch<br />

and bound search.<br />

• iparam.mio max num solutions. Controls how many feasible solutions the mixed-integer<br />

<strong>optimizer</strong> investigates.<br />

• dparam.mio max time. Time limit for the mixed-integer <strong>optimizer</strong>.<br />

• dparam.mio near tol rel gap. <strong>The</strong> mixed-integer <strong>optimizer</strong> is terminated when this tolerance<br />

is satisfied.<br />

• dparam.mio rel gap const. This value is used to compute the relative gap for the solution<br />

to an integer optimization problem.<br />

• dparam.mio tol rel gap.<br />

<strong>optimizer</strong>.<br />

• dparam.<strong>optimizer</strong> max time. Solver time limit.<br />

Relative optimality tolerance employed by the mixed-integer<br />

• iparam.sim max iterations. Maximum number of iterations that can be used by a simplex<br />

<strong>optimizer</strong>.<br />

• dparam.upper obj cut. Objective bound.<br />

• dparam.upper obj cut finite trh. Objective bound.<br />

• Integer parameters<br />

• Double parameters<br />

• String parameters

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!