Difference between revisions of "LpSolution"
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| − | + | = LpSolution(lp) = | |
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| + | Solves and returns the solution to an optimization problem, either a linear program defined using [[LpDefine]], a Quadratic or QCP problem defined using [[QpDefine]], or a constrained non-linear optimization problem defined with [[NlpDefine]]. | ||
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| + | If the problem has already been solved as a result of calling a related function, such as [[LpStatusText]], the solution is obtained immediately. If it hasn't been solved yet (functions like [[LpDefine]] define the problem but don't solve it), then it launches the search for the solution. | ||
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| + | The value returned is only valid when the solver believes that an optimal, or likely optimal solution has been found. You should always check [[LpStatusText]] or [[LpStatusNum]] to validate that a feasible and optimal solution has been found. It is entirely possible that there is no solution, or that the solver could not find a feasible solution, in which cases the values returned by [[LpSolution]] are arbitrary. | ||
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| + | = See Also = | ||
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| + | * [[LpDefine]], [[QpDefine]], [[NlpDefine]] | ||
| + | * [[LpStatusText]], [[LpStatusNum]] | ||
Revision as of 19:06, 28 January 2010
LpSolution(lp)
Solves and returns the solution to an optimization problem, either a linear program defined using LpDefine, a Quadratic or QCP problem defined using QpDefine, or a constrained non-linear optimization problem defined with NlpDefine.
If the problem has already been solved as a result of calling a related function, such as LpStatusText, the solution is obtained immediately. If it hasn't been solved yet (functions like LpDefine define the problem but don't solve it), then it launches the search for the solution.
The value returned is only valid when the solver believes that an optimal, or likely optimal solution has been found. You should always check LpStatusText or LpStatusNum to validate that a feasible and optimal solution has been found. It is entirely possible that there is no solution, or that the solver could not find a feasible solution, in which cases the values returned by LpSolution are arbitrary.
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