Hello,<br>We are incrementally building a complex model using FLOP C++.<br>It has been noticed that, as new constraints and additional terms for objective function are added the Flop C++ Generation time increases.<br>The point to worry is that the increase is quiet sharp with change in problem size.<br>
<br>The analysis data has been presented below:<br><br> Case-1 Case-2 Case-3 Case-4 Case-5<br>Rows 6409 6409 12793 13177 13897<br>
Columns 6433 7657 14089 14233 14953<br>Non-Zeroes 14729 18401 42081 43881 45465<br>Generation Time (secs) 0.145 0.150 0.420 0.562 1.049<br>
<br>We would like to know if this generation time can be reduced?<br>If yes, then what measure need to be taken to bring this down?<br><br>The constraints modeled use such_that to restrict the range of constraint. Does this effect the overall performance?<br>
<br>Also what could be the other possible reasons for increased generation times.<br><br>Regards<br>Rohith<br>