Hi Anish Thanks for your example models. I should mention that ASCEND comes into its own most when attempting to solve simultaneous equations, such as are often experienced when describing a complex physical system with numerous different constraints acting at once. Such problems involving multiply-constrained systems can be difficult to solve, and the main steady-state ASCEND solver, QRSlv has various 'tricks' for helping to converge on a solution. If you want to see ASCEND really 'working hard', try to implement a model of this kind; it will give you a better idea of what ASCEND is designed to do, and how it can be improved.
Cheers JP On 01/04/13 05:33, Anish Kaul wrote: > To have a better understanding of ASCEND i created the model for > computing probability of an event to occur 'n times' using Poisson's > Distribution formula. Also as an application of this i created a model > to compute the probability of success and Throughput metric in an > ALOHA network. Using this model a plot of throughput vs mean number of > attempts can be made. > ------------------------------------------------------------------------------ Own the Future-Intel® Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d _______________________________________________ Ascend-sim-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/ascend-sim-users
