solver:infeasible_solution._reduced_gradient_less_than_tolerance

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solver:infeasible_solution._reduced_gradient_less_than_tolerance [2009/08/05 15:48] support |
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- | Another possibility is that the model is infeasible because you have a bug in your formulation and the equations are not really the ones that you intended. When you analyze the solution returned, you will see that equations that could not be satisfied are marked INFES. The same is true for variables that could not be kept inside their bounds. You may very well see a pattern. Perhaps every variable in one block is marked INFES even though you thought the equation would be easy to satisfy. You then need to analyze why CONOPT was unable to adjust variable values to satisfy that equation. Otherwise, try selectively removing some equations or relax them by adding slacks. This can help you find the equations that cause the infeasibility. | + | Another possibility is that the model is infeasible because you have a bug in your formulation and the equations are not really the ones that you intended. When you analyze the solution returned, you will see that equations that could not be satisfied are marked ''INFES''. The same is true for variables that could not be kept inside their bounds. You may very well see a pattern. Perhaps every variable in one block is marked ''INFES'' even though you thought the equation would be easy to satisfy. You then need to analyze why CONOPT was unable to adjust variable values to satisfy that equation. Otherwise, try selectively removing some equations or relax them by adding slacks. This can help you find the equations that cause the infeasibility. |

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