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

Optimizer API for Python - Documentation - Mosek Optimizer API for Python - Documentation - Mosek

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574 APPENDIX D. API CONSTANTS optimizertype.mixed int conic The mixed-integer optimizer for conic and linear problems. optimizertype.mixed int The mixed-integer optimizer. optimizertype.concurrent The optimizer for nonconvex nonlinear problems. optimizertype.nonconvex The optimizer for nonconvex nonlinear problems. D.29 Ordering strategies orderingtype.free The ordering method is chosen automatically. orderingtype.appminloc Approximate minimum local fill-in ordering is employed. orderingtype.experimental This option should not be used. orderingtype.try graphpar Always try the the graph partitioning based ordering. orderingtype.force graphpar Always use the graph partitioning based ordering even if it is worse that the approximate minimum local fill ordering. orderingtype.none No ordering is used. D.30 Parameter type parametertype.invalid type Not a valid parameter. parametertype.dou type Is a double parameter. parametertype.int type Is an integer parameter.

D.31. PRESOLVE METHOD. 575 parametertype.str type Is a string parameter. D.31 Presolve method. presolvemode.off The problem is not presolved before it is optimized. presolvemode.on The problem is presolved before it is optimized. presolvemode.free It is decided automatically whether to presolve before the problem is optimized. D.32 Problem data items problemitem.var Item is a variable. problemitem.con Item is a constraint. problemitem.cone Item is a cone. D.33 Problem types problemtype.lo The problem is a linear optimization problem. problemtype.qo The problem is a quadratic optimization problem. problemtype.qcqo The problem is a quadratically constrained optimization problem. problemtype.geco General convex optimization. problemtype.conic A conic optimization.

574 APPENDIX D. <strong>API</strong> CONSTANTS<br />

<strong>optimizer</strong>type.mixed int conic<br />

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

<strong>optimizer</strong>type.mixed int<br />

<strong>The</strong> mixed-integer <strong>optimizer</strong>.<br />

<strong>optimizer</strong>type.concurrent<br />

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

<strong>optimizer</strong>type.nonconvex<br />

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

D.29 Ordering strategies<br />

orderingtype.free<br />

<strong>The</strong> ordering method is chosen automatically.<br />

orderingtype.appminloc<br />

Approximate minimum local fill-in ordering is employed.<br />

orderingtype.experimental<br />

This option should not be used.<br />

orderingtype.try graphpar<br />

Always try the the graph partitioning based ordering.<br />

orderingtype.force graphpar<br />

Always use the graph partitioning based ordering even if it is worse that the approximate minimum<br />

local fill ordering.<br />

orderingtype.none<br />

No ordering is used.<br />

D.30 Parameter type<br />

parametertype.invalid type<br />

Not a valid parameter.<br />

parametertype.dou type<br />

Is a double parameter.<br />

parametertype.int type<br />

Is an integer parameter.

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