The Simplex Log
During the simplex optimization, a summary log is displayed every n iterations, where n is the value of LPLOG. This summary log has the form:
| Its | The number of iterations or steps taken so far. |
| Obj Value | The objective function value. |
| S | The current solution method (p primal; d dual). |
| Ninf | The number of infeasibilities. |
| Nneg | The number of variables which may improve the current solution if assigned a value away from their current bounds. |
| Sum inf | The scaled sum of infeasibilities. For the dual algorithm this is the scaled sum of dual infeasibilities when the number of negative dj's is non-zero. |
| Time | The number of seconds spent iterating. |
A more detailed log can be displayed every n iterations by setting LPLOG to -n. The detailed log has the form:
| Its | The number of iterations or steps taken so far. |
| S | The current solution method (p primal; d dual). |
| Ninf | The number of infeasibilities. |
| Obj Value | If the solution is infeasible, the scaled sum of infeasibilities, otherwise: the objective value. |
| In | The sequence number of the variable entering the basis (negative if from upper bound). |
| Out | The sequence number of the variable leaving the basis (negative if to upper bound). |
| Nneg | The number of variables which may prove the current solution if assigned a value away from their current bounds. |
| Dj | The scaled rate at which the most promising variable would improve the solution if assigned a value away from its current bound (reduced cost). |
| Neta | A measure of the size of the inverse. |
| Nelem | Another measure of the size of the inverse. |
| Time | The number of seconds spent iterating. |
If LPLOG is set to 0, no log is displayed until the optimization finishes.
