Difference between revisions of "OptObjectiveSa"
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[[Category:Doc Status D]] <!-- For Lumina use, do not change --> | [[Category:Doc Status D]] <!-- For Lumina use, do not change --> | ||
| − | = OptObjectiveSa(opt'' | + | == OptObjectiveSa(opt, ''decision'') == |
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Computes the range over which an objective function coefficient can vary in a linear program without changing the optimal solution. «opt» must be an LP resulting from a previous call to [[DefineOptimization]]. | Computes the range over which an objective function coefficient can vary in a linear program without changing the optimal solution. «opt» must be an LP resulting from a previous call to [[DefineOptimization]]. | ||
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The optional «decision» parameter specifies a decision variable passed to the «decisions» parameter of [[DefineOptimization]]. When specified, returns the sensitivity for the cells in that decision, using the same indexes as the decision variable. | The optional «decision» parameter specifies a decision variable passed to the «decisions» parameter of [[DefineOptimization]]. When specified, returns the sensitivity for the cells in that decision, using the same indexes as the decision variable. | ||
| − | = See Also = | + | == See Also == |
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* [[DefineOptimization]] | * [[DefineOptimization]] | ||
* [[OptSolution]] | * [[OptSolution]] | ||
| − | * [[OptStatusText]] | + | * [[OptStatusText]] |
| + | * [[OptStatusNum]] | ||
* [[OptRhsSa]] | * [[OptRhsSa]] | ||
* [[OptShadow]] | * [[OptShadow]] | ||
* [[OptReducedCost]] | * [[OptReducedCost]] | ||
* [[OptSlack]] | * [[OptSlack]] | ||
Revision as of 21:38, 22 January 2016
OptObjectiveSa(opt, decision)
Computes the range over which an objective function coefficient can vary in a linear program without changing the optimal solution. «opt» must be an LP resulting from a previous call to DefineOptimization.
This is apparently only available in a continuous linear program. It cannot be used on an integer or mixed-integer LP.
The optional «decision» parameter specifies a decision variable passed to the «decisions» parameter of DefineOptimization. When specified, returns the sensitivity for the cells in that decision, using the same indexes as the decision variable.
See Also
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