The MOSEK command line tool Version 7.0 (Revision 141)
The MOSEK command line tool. Version 7.0 ... - Documentation The MOSEK command line tool. Version 7.0 ... - Documentation
176 CHAPTER 9. PARAMETERS 9.2.154 MSK IPAR SIM MAX NUM SETBACKS Corresponding constant: MSK IPAR SIM MAX NUM SETBACKS Description: Controls how many set-backs are allowed within a simplex optimizer. A set-back is an event where the optimizer moves in the wrong direction. This is impossible in theory but may happen due to numerical problems. Possible Values: Any number between 0 and +inf. Default value: 250 9.2.155 MSK IPAR SIM NON SINGULAR Corresponding constant: MSK IPAR SIM NON SINGULAR Description: Controls if the simplex optimizer ensures a non-singular basis, if possible. Possible values: • MSK OFF Switch the option off. • MSK ON Switch the option on. Default value: MSK ON 9.2.156 MSK IPAR SIM PRIMAL CRASH Corresponding constant: MSK IPAR SIM PRIMAL CRASH Description: Controls whether crashing is performed in the primal simplex optimizer. In general, if a basis consists of more than (100-this parameter value)% fixed variables, then a crash will be performed. Possible Values: Any nonnegative integer value.
9.2. MSKIPARAME: INTEGER PARAMETERS 177 Default value: 90 9.2.157 MSK IPAR SIM PRIMAL PHASEONE METHOD Corresponding constant: MSK IPAR SIM PRIMAL PHASEONE METHOD Description: An exprimental feature. Possible Values: Any number between 0 and 10. Default value: 0 9.2.158 MSK IPAR SIM PRIMAL RESTRICT SELECTION Corresponding constant: MSK IPAR SIM PRIMAL RESTRICT SELECTION Description: The primal simplex optimizer can use a so-called restricted selection/pricing strategy to chooses the outgoing variable. Hence, if restricted selection is applied, then the primal simplex optimizer first choose a subset of all the potential incoming variables. Next, for some time it will choose the incoming variable only among the subset. From time to time the subset is redefined. A larger value of this parameter implies that the optimizer will be more aggressive in its restriction strategy, i.e. a value of 0 implies that the restriction strategy is not applied at all. Possible Values: Any number between 0 and 100. Default value: 50 9.2.159 MSK IPAR SIM PRIMAL SELECTION Corresponding constant: MSK IPAR SIM PRIMAL SELECTION Description: Controls the choice of the incoming variable, known as the selection strategy, in the primal simplex optimizer.
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9.2. MSKIPARAME: INTEGER PARAMETERS 177<br />
Default value:<br />
90<br />
9.2.157 MSK IPAR SIM PRIMAL PHASEONE METHOD<br />
Corresponding constant:<br />
MSK IPAR SIM PRIMAL PHASEONE METHOD<br />
Description:<br />
An exprimental feature.<br />
Possible Values:<br />
Any number between 0 and 10.<br />
Default value:<br />
0<br />
9.2.158 MSK IPAR SIM PRIMAL RESTRICT SELECTION<br />
Corresponding constant:<br />
MSK IPAR SIM PRIMAL RESTRICT SELECTION<br />
Description:<br />
<strong>The</strong> primal simplex optimizer can use a so-called restricted selection/pricing strategy to chooses<br />
the outgoing variable. Hence, if restricted selection is applied, then the primal simplex optimizer<br />
first choose a subset of all the potential incoming variables. Next, for some time it will choose<br />
the incoming variable only among the subset. From time to time the subset is redefined.<br />
A larger value of this parameter implies that the optimizer will be more aggressive in its restriction<br />
strategy, i.e. a value of 0 implies that the restriction strategy is not applied at all.<br />
Possible Values:<br />
Any number between 0 and 100.<br />
Default value:<br />
50<br />
9.2.159 MSK IPAR SIM PRIMAL SELECTION<br />
Corresponding constant:<br />
MSK IPAR SIM PRIMAL SELECTION<br />
Description:<br />
Controls the choice of the incoming variable, known as the selection strategy, in the primal<br />
simplex optimizer.
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