The MOSEK Python optimizer API manual Version 7.0 (Revision 141)
Optimizer API for Python - Documentation - Mosek Optimizer API for Python - Documentation - Mosek
440 APPENDIX B. PARAMETERS B.2.34 iparam.intpnt regularization use Corresponding constant: iparam.intpnt regularization use Description: Controls whether regularization is allowed. Possible values: • onoffkey.off Switch the option off. • onoffkey.on Switch the option on. Default value: onoffkey.on B.2.35 iparam.intpnt scaling Corresponding constant: iparam.intpnt scaling Description: Controls how the problem is scaled before the interior-point optimizer is used. Possible values: • scalingtype.aggressive A very aggressive scaling is performed. • scalingtype.free The optimizer chooses the scaling heuristic. • scalingtype.moderate A conservative scaling is performed. • scalingtype.none No scaling is performed. Default value: scalingtype.free B.2.36 iparam.intpnt solve form Corresponding constant: iparam.intpnt solve form Description: Controls whether the primal or the dual problem is solved. Possible values:
B.2. IPARAM: INTEGER PARAMETERS 441 • solveform.dual The optimizer should solve the dual problem. • solveform.free The optimizer is free to solve either the primal or the dual problem. • solveform.primal The optimizer should solve the primal problem. Default value: solveform.free B.2.37 iparam.intpnt starting point Corresponding constant: iparam.intpnt starting point Description: Starting point used by the interior-point optimizer. Possible values: • startpointtype.constant The optimizer constructs a starting point by assigning a constant value to all primal and dual variables. This starting point is normally robust. • startpointtype.free The starting point is chosen automatically. • startpointtype.guess The optimizer guesses a starting point. • startpointtype.satisfy bounds The starting point is choosen to satisfy all the simple bounds on nonlinear variables. If this starting point is employed, then more care than usual should employed when choosing the bounds on the nonlinear variables. In particular very tight bounds should be avoided. Default value: startpointtype.free B.2.38 iparam.lic trh expiry wrn Corresponding constant: iparam.lic trh expiry wrn Description: If a license feature expires in a numbers days less than the value of this parameter then a warning will be issued. Possible Values: Any number between 0 and +inf. Default value: 7
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440 APPENDIX B. PARAMETERS<br />
B.2.34<br />
iparam.intpnt regularization use<br />
Corresponding constant:<br />
iparam.intpnt regularization use<br />
Description:<br />
Controls whether regularization is allowed.<br />
Possible values:<br />
• onoffkey.off Switch the option off.<br />
• onoffkey.on Switch the option on.<br />
Default value:<br />
onoffkey.on<br />
B.2.35<br />
iparam.intpnt scaling<br />
Corresponding constant:<br />
iparam.intpnt scaling<br />
Description:<br />
Controls how the problem is scaled before the interior-point <strong>optimizer</strong> is used.<br />
Possible values:<br />
• scalingtype.aggressive A very aggressive scaling is performed.<br />
• scalingtype.free <strong>The</strong> <strong>optimizer</strong> chooses the scaling heuristic.<br />
• scalingtype.moderate A conservative scaling is performed.<br />
• scalingtype.none No scaling is performed.<br />
Default value:<br />
scalingtype.free<br />
B.2.36<br />
iparam.intpnt solve form<br />
Corresponding constant:<br />
iparam.intpnt solve form<br />
Description:<br />
Controls whether the primal or the dual problem is solved.<br />
Possible values:
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