Help with Speeding up a For loop
- To: mathgroup at smc.vnet.net
- Subject: [mg98881] Help with Speeding up a For loop
- From: Adam Dally <adally at wisc.edu>
- Date: Mon, 20 Apr 2009 19:13:25 -0400 (EDT)
I am using an Intel MacBook with OS X 10.5.6. I am trying to create 2 lists: "Ideal" and "Resolution". This is basically a "Monte Carlo Integration" technique. Ideal should simulate the curve. Resolution should simulate the curve convoluted with a normal distribution. I want to do this for n=10 000 000 or more, but it takes far too long right now. I can do n=100 000 in about 1 minute, but 1 000 000 takes more than an hour. I haven't waited long enough for 10 000 000 to finish (it has been 5 days). Thank you, Adam Dally Here is the code: ClearAll[E0, Eb1, m, DeltaE, Sigma, k, n, y3, Ideal, Resolution, i, normalizer, maxE, minE] Eb1 = 0; k = 0; n = 10000; E0 = 2470; m = 0.2; DeltaE = 50; Sigma = 5; maxE = E0 - m; minE = E0 - DeltaE; Resolution = {Eb1}; Ideal = {Eb1}; (*Setup all constants, lists and ranges*) Eb1 = RandomReal[{minE, maxE}, n]; (*create a list of 'n' random Eb1 values*) k = -RandomReal[TriangularDistribution[{-2470, 0}, -0.1], n]; (*create a list of 'n' random k values; triangle distribution gives more successful results*) For[i = 0, i < n, i++, If[k[[i]] < Re[(E0 - Eb1[[i]])^2*Sqrt[1 - m^2/(E0 - Eb1[[i]])^2]], (*check if the {k,Eb1} value is under the curve*) AppendTo[Ideal, Eb1[[i]]]; (*Keep events under curve in 'Ideal'*) y3 = Eb1[[i]]; (*cast element to a number*) Eb1[[i]] = RandomReal[NormalDistribution[y3, Sigma], 1]; (*choose a random number from a normal distribution about that point*) AppendTo[Resolution, Eb1[[i]]]; ]] (*Keep that event in 'Resolution'*)
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