problem.loadlpsol
Purpose
This subroutine is deprecated and will be removed in a future release. Use problem.loadLPSol instead.
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.
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, duals, djs)
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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duals
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Optional: double array of length
problem.attributes.rows containing the values of duals variables.
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djs
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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, duals, None)
Further information
1. At least one of variables
x and duals variables
duals 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 duals variables
duals is
None, both duals variables and reduced costs will be set to zero.
5. When reduced costs
djs is
None, it will be computed from duals variables
duals. If reduced costs are provided, duals variables cannot be omitted.
Related topics
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