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 Author Comment/Response Patrik 05/17/12 01:46am Hello! I am having trouble with a little piece of code. It is working, although it is not of practical use. This because it takes too long time to compute. Why it takes this long time I do not understand, since all I want to retrive is a real numerical value from an interpolated function that is a solution given by NDSolve. Seems simple enough right? How the relevant code is structured: //I get a table of solutions solutions = Table[NDSolve[... ...],...] //Next I want to sample the solution functions with 4 datapoints per timestep Print["Sampling..."]; gSolutionPart = Table[SetAccuracy[ Block[{t = v}, Subscript[y, k][t] /. Solution[[f, 1, k]]], 12], {f, 1, diffrentb}, {k, 1, 201}, {v, i, i + (parttime - 1/4), 1/4}]; And here at the sampling is where the code computes like syrup. I narrowed the slowness down to the computation of a datapoint of a interpolated solution function given by NDSolve. Now, is there any other, preferably better, way to sample points from an interpolated function? Currently I am numerically solving a somewhat large nonlinear system of differential equations. So if the integration of the system takes, lets say half a minute, the sampling (just retriveing a few datapoints!) takes more than double the time. For example I had an integration for the solution span ~50 mins of computation time, then the sampling took several hours. A restriction I am working under is that I want to avoid huge RAM spikes since the integration needs its space. Is this slowness inherent in Mathematica? Can I get around it in some way? Please help a fellow out if you have some ideas. Much appriciated. URL: ,

 Subject (listing for 'Inherent slowness or just a bad approach?') Author Date Posted Inherent slowness or just a bad approach? Patrik 05/17/12 01:46am Re: Inherent slowness or just a bad approach? Bill Simpson 05/17/12 1:47pm
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