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

Optimizer API for Python - Documentation - Mosek

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B.2. IPARAM: INTEGER PARAMETERS 429<br />

B.2.6<br />

iparam.basis solve use plus one<br />

Corresponding constant:<br />

iparam.basis solve use plus one<br />

Description:<br />

If a slack variable is in the basis, then the corresponding column in the basis is a unit vector with<br />

-1 in the right position. However, if this parameter is set to onoffkey.on, -1 is replaced by 1.<br />

This has siginificance for the results returned by the Task.solvewithbasis function.<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.2.7<br />

iparam.bi clean <strong>optimizer</strong><br />

Corresponding constant:<br />

iparam.bi clean <strong>optimizer</strong><br />

Description:<br />

Controls which simplex <strong>optimizer</strong> is used in the clean-up phase.<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.<br />

• <strong>optimizer</strong>type.dual simplex <strong>The</strong> dual simplex <strong>optimizer</strong> is used.<br />

• <strong>optimizer</strong>type.free <strong>The</strong> <strong>optimizer</strong> is chosen automatically.<br />

• <strong>optimizer</strong>type.free simplex One of the simplex <strong>optimizer</strong>s is used.<br />

• <strong>optimizer</strong>type.intpnt <strong>The</strong> interior-point <strong>optimizer</strong> is used.<br />

• <strong>optimizer</strong>type.mixed int <strong>The</strong> mixed-integer <strong>optimizer</strong>.<br />

• <strong>optimizer</strong>type.mixed int conic <strong>The</strong> mixed-integer <strong>optimizer</strong> for conic and linear problems.<br />

• <strong>optimizer</strong>type.network primal simplex <strong>The</strong> network primal simplex <strong>optimizer</strong> is used.<br />

It is only applicable to pute network problems.<br />

• <strong>optimizer</strong>type.nonconvex <strong>The</strong> <strong>optimizer</strong> for nonconvex nonlinear problems.<br />

• <strong>optimizer</strong>type.primal dual simplex <strong>The</strong> primal dual simplex <strong>optimizer</strong> is used.<br />

• <strong>optimizer</strong>type.primal simplex <strong>The</strong> primal simplex <strong>optimizer</strong> is used.<br />

Default value:<br />

<strong>optimizer</strong>type.free

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