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<div>Folks,</div>
<div>I am very new to CBC and currently using CBC to solve my models defined in MPS format.</div>
<ol style="margin:0;padding-left:36pt;">
<li>While using CBC exe for one of my models I get an output in which there is a double star (**) before the output for few of the column values. I wanted to understand the significance of the ** against those variables.</li><li>A separate message that I see in most of my models is “Presolved model was optimal, full model needs cleaning up”. (this is not only for this model where I see the ** , this happens for most of my models. </li></ol>
<div>Any inputs on what these mean will help.</div>
<div> </div>
<div>Thanks</div>
<div>Aditya</div>
<div> </div>
<div><b>Solver info</b></div>
<div>I am using </div>
<div>CBC MILP Solver</div>
<div>Version: 2.7.5</div>
<div>Build Date: Nov 10 2011</div>
<div>Revision Number: 1759</div>
<div> </div>
<div><b>Sample command</b><b> I am using to solve the model</b></div>
<div>cbc.exe test.mps -min -log 4 -printi normal -dualsimplex -solution solution.txt</div>
<div> </div>
<div><b>Subset of the output</b></div>
<div>Solution file</div>
<div> </div>
<div>548763 C548764 10000 0</div>
<div> 548764 C548765 10000 0</div>
<div> 554455 C554456 7.6614939e-008 0</div>
<div> 554531 C554532 1.6038305e-008 0</div>
<div> 554535 C554536 1.6038058e-008 0</div>
<div> 554538 C554539 1.5982311e-008 0</div>
<div> 554547 C554548 -2.6261529e-008 0</div>
<div> 554548 C554549 2.324775e-008 0</div>
<div> 554550 C554551 1.4714258e-007 0</div>
<div> 554557 C554558 2.3278687e-008 0</div>
<div> 554559 C554560 2.2487787e-008 0</div>
<div> 554573 C554574 1.8014923e-008 0</div>
<div> 554576 C554577 6.3230405e-008 0</div>
<div> 554578 C554579 3.246004e-008 0</div>
<div> 554597 C554598 9.7952215e-008 0</div>
<div> 554609 C554610 5.8165309e-008 0</div>
<div> 554683 C554684 1.4597505e-007 0</div>
<div> 554697 C554698 -6.4753367e-008 0</div>
<div><font color="red"><b>** 554803 C554804 -1.2347247e-007 0</b></font></div>
<div>Log</div>
<div> </div>
<div>………</div>
<div>56445 Obj 3.0723896e+010 Dual inf 2450382.7 (7511)</div>
<div>57003 Obj 3.0717073e+010 Dual inf 57073.09 (6514)</div>
<div>57560 Obj 3.0707118e+010 Dual inf 44403.189 (6082)</div>
<div>58115 Obj 3.0706078e+010 Dual inf 5298.2877 (4569)</div>
<div>58673 Obj 3.0703354e+010 Dual inf 10674.886 (4059)</div>
<div>59225 Obj 3.0703025e+010 Dual inf 639.13423 (3030)</div>
<div>59770 Obj 3.0702946e+010 Dual inf 194.69862 (2080)</div>
<div>60315 Obj 3.0702896e+010 Dual inf 27.087086 (1165)</div>
<div>60874 Obj 3.0702874e+010 Dual inf 1.3863464 (244)</div>
<div>61104 Obj 3.0702873e+010</div>
<div>Optimal - objective value 3.0702873e+010</div>
<div>After Postsolve, objective 3.0702873e+010, infeasibilities - dual 6774.386 (8), primal 56665.471 (5322)</div>
<div><font color="red"><b>Presolved model was optimal, full model needs cleaning up</b></font></div>
<div>0 Obj 3.0702873e+010 Primal inf 3655.0621 (8) Dual inf 4.819286e+010 (18)</div>
<div>End of values pass after 9 iterations</div>
<div>9 Obj 3.0702954e+010 Primal inf 3581.0044 (4) Dual inf 3.1797197e+015 (21038)</div>
<div>209 Obj 3.0709821e+010 Dual inf 9127587.4 (4065)</div>
<div>409 Obj 3.0705595e+010 Dual inf 41373606 (12316)</div>
<div>609 Obj 3.0703384e+010 Dual inf 49496938 (12414)</div>
<div>776 Obj 3.0702873e+010</div>
<div>Optimal - objective value 3.0702873e+010</div>
<div>Optimal objective 3.070287338e+010 - 61880 iterations time 126.252, Presolve 7.91</div>
<div> </div>
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