The MOSEK Python optimizer API manual Version 7.0 (Revision 141)
Optimizer API for Python - Documentation - Mosek Optimizer API for Python - Documentation - Mosek
484 APPENDIX B. PARAMETERS • simseltype.devex The optimizer uses devex steepest-edge pricing (or if it is not available an approximate steep-edge selection). • simseltype.free The optimizer chooses the pricing strategy. • simseltype.full The optimizer uses full pricing. • simseltype.partial The optimizer uses a partial selection approach. The approach is usually beneficial if the number of variables is much larger than the number of constraints. • simseltype.se The optimizer uses steepest-edge selection (or if it is not available an approximate steep-edge selection). Default value: simseltype.free B.2.149 iparam.sim exploit dupvec Corresponding constant: iparam.sim exploit dupvec Description: Controls if the simplex optimizers are allowed to exploit duplicated columns. Possible values: • simdupvec.free The simplex optimizer can choose freely. • simdupvec.off Disallow the simplex optimizer to exploit duplicated columns. • simdupvec.on Allow the simplex optimizer to exploit duplicated columns. Default value: simdupvec.off B.2.150 iparam.sim hotstart Corresponding constant: iparam.sim hotstart Description: Controls the type of hot-start that the simplex optimizer perform. Possible values: • simhotstart.free The simplex optimize chooses the hot-start type. • simhotstart.none The simplex optimizer performs a coldstart. • simhotstart.status keys Only the status keys of the constraints and variables are used to choose the type of hot-start. Default value: simhotstart.free
B.2. IPARAM: INTEGER PARAMETERS 485 B.2.151 iparam.sim hotstart lu Corresponding constant: iparam.sim hotstart lu Description: Determines if the simplex optimizer should exploit the initial factorization. Possible values: • onoffkey.off Switch the option off. • onoffkey.on Switch the option on. Default value: onoffkey.on B.2.152 iparam.sim integer Corresponding constant: iparam.sim integer Description: An exprimental feature. Possible Values: Any number between 0 and 10. Default value: 0 B.2.153 iparam.sim max iterations Corresponding constant: iparam.sim max iterations Description: Maximum number of iterations that can be used by a simplex optimizer. Possible Values: Any number between 0 and +inf. Default value: 10000000
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- Page 537 and 538: Appendix C Response codes Response
- Page 539 and 540: 517 rescode.err con q not psd The q
- Page 541 and 542: 519 rescode.err global inv conic pr
- Page 543 and 544: 521 rescode.err inv markj Invalid v
- Page 545 and 546: 523 rescode.err invalid format type
- Page 547 and 548: 525 rescode.err license no server s
- Page 549 and 550: 527 rescode.err mio no optimizer No
- Page 551 and 552: 529 rescode.err name max len A name
- Page 553 and 554: 531 rescode.err numconlim Maximum n
- Page 555 and 556: 533 rescode.err qcon upper triangle
B.2. IPARAM: INTEGER PARAMETERS 485<br />
B.2.151<br />
iparam.sim hotstart lu<br />
Corresponding constant:<br />
iparam.sim hotstart lu<br />
Description:<br />
Determines if the simplex <strong>optimizer</strong> should exploit the initial factorization.<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.2.152<br />
iparam.sim integer<br />
Corresponding constant:<br />
iparam.sim integer<br />
Description:<br />
An exprimental feature.<br />
Possible Values:<br />
Any number between 0 and 10.<br />
Default value:<br />
0<br />
B.2.153<br />
iparam.sim max iterations<br />
Corresponding constant:<br />
iparam.sim max iterations<br />
Description:<br />
Maximum number of iterations that can be used by a simplex <strong>optimizer</strong>.<br />
Possible Values:<br />
Any number between 0 and +inf.<br />
Default value:<br />
10000000
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