problem.loadlpsol
problem.loadlpsol |
Purpose
Loads an LP solution for the problem into the Optimizer. The returned status is either 0 if the solution is loaded or 1 if the solution is not loaded because the problem is in presolved status.
Synopsis
status = problem.loadlpsol(x, slack, dual, dj)
Arguments
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x
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Optional: Array of length
problem.attributes.cols (for the original problem and not the presolve problem) containing the values of the variables.
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slack
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Optional: double array of length
problem.attributes.rows containing the values of slack variables.
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dual
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Optional: double array of length
problem.attributes.rows containing the values of dual variables.
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dj
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Optional: double array of length
problem.attributes.cols containing the values of reduced costs.
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Example
This example loads a problem and loads a solution for the problem.
p.read("problem", "")
status = p.loadlpsol(x, None, dual, None)
Further information
1. At least one of variables
x and dual variables
dual must be provided.
2. When variables
x is
None, the variables will be set to their bounds.
3. When slack variables
slack is
None, it will be computed from variables
x. If slacks are provided, variables cannot be omitted.
4. When dual variables
dual is
None, both dual variables and reduced costs will be set to zero.
5. When reduced costs
dj is
None, it will be computed from dual variables
dual. If reduced costs are provided, dual variables cannot be omitted.
Related topics