The MOSEK Python optimizer API manual Version 7.0 (Revision 141)
Optimizer API for Python - Documentation - Mosek Optimizer API for Python - Documentation - Mosek
480 APPENDIX B. PARAMETERS B.2.139 iparam.read var Corresponding constant: iparam.read var Description: Expected maximum number of variable to be read. The option is used only by MPS and LP file readers. Possible Values: Any number between 0 and +inf. Default value: 10000 B.2.140 iparam.sensitivity all Corresponding constant: iparam.sensitivity all Description: If set to onoffkey.on, then Task.sensitivityreport analyzes all bounds and variables instead of reading a specification from the file. Possible values: • onoffkey.off Switch the option off. • onoffkey.on Switch the option on. Default value: onoffkey.off B.2.141 iparam.sensitivity optimizer Corresponding constant: iparam.sensitivity optimizer Description: Controls which optimizer is used for optimal partition sensitivity analysis. Possible values: • optimizertype.concurrent The optimizer for nonconvex nonlinear problems. • optimizertype.conic The optimizer for problems having conic constraints.
B.2. IPARAM: INTEGER PARAMETERS 481 • optimizertype.dual simplex The dual simplex optimizer is used. • optimizertype.free The optimizer is chosen automatically. • optimizertype.free simplex One of the simplex optimizers is used. • optimizertype.intpnt The interior-point optimizer is used. • optimizertype.mixed int The mixed-integer optimizer. • optimizertype.mixed int conic The mixed-integer optimizer for conic and linear problems. • optimizertype.network primal simplex The network primal simplex optimizer is used. It is only applicable to pute network problems. • optimizertype.nonconvex The optimizer for nonconvex nonlinear problems. • optimizertype.primal dual simplex The primal dual simplex optimizer is used. • optimizertype.primal simplex The primal simplex optimizer is used. Default value: optimizertype.free simplex B.2.142 iparam.sensitivity type Corresponding constant: iparam.sensitivity type Description: Controls which type of sensitivity analysis is to be performed. Possible values: • sensitivitytype.basis Basis sensitivity analysis is performed. • sensitivitytype.optimal partition Optimal partition sensitivity analysis is performed. Default value: sensitivitytype.basis B.2.143 iparam.sim basis factor use Corresponding constant: iparam.sim basis factor use Description: Controls whether a (LU) factorization of the basis is used in a hot-start. Forcing a refactorization sometimes improves the stability of the simplex optimizers, but in most cases there is a performance penanlty.
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480 APPENDIX B. PARAMETERS<br />
B.2.139<br />
iparam.read var<br />
Corresponding constant:<br />
iparam.read var<br />
Description:<br />
Expected maximum number of variable to be read. <strong>The</strong> option is used only by MPS and LP file<br />
readers.<br />
Possible Values:<br />
Any number between 0 and +inf.<br />
Default value:<br />
10000<br />
B.2.140<br />
iparam.sensitivity all<br />
Corresponding constant:<br />
iparam.sensitivity all<br />
Description:<br />
If set to onoffkey.on, then Task.sensitivityreport analyzes all bounds and variables instead<br />
of reading a specification from the file.<br />
Possible values:<br />
• onoffkey.off Switch the option off.<br />
• onoffkey.on Switch the option on.<br />
Default value:<br />
onoffkey.off<br />
B.2.<strong>141</strong><br />
iparam.sensitivity <strong>optimizer</strong><br />
Corresponding constant:<br />
iparam.sensitivity <strong>optimizer</strong><br />
Description:<br />
Controls which <strong>optimizer</strong> is used for optimal partition sensitivity analysis.<br />
Possible values:<br />
• <strong>optimizer</strong>type.concurrent <strong>The</strong> <strong>optimizer</strong> for nonconvex nonlinear problems.<br />
• <strong>optimizer</strong>type.conic <strong>The</strong> <strong>optimizer</strong> for problems having conic constraints.
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