# Does Matlab have a library for Monte Carlo integration

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Radoslav Vuchkov on 29 Jun 2021
Commented: Radoslav Vuchkov on 29 Jun 2021
Hello,
I have been doing some reading and I cannot seem to find a simple to use matlab library to do Monte Carlo integration in n dimentions. For my needs I want to integrate a function over a n dimentional square.
Thank you very much for the inputs and ideas.

John D'Errico on 29 Jun 2021
Edited: John D'Errico on 29 Jun 2021
Do they have a "library"? Not really what I would call a "library". Maybe you might. But why would they? They offer random number generation functions, which is all you need. In this case, all you need is the function RAND. RAND can generate sets of points that lie uniformly inside an n-dimensional square.
Radoslav Vuchkov on 29 Jun 2021
I understand what you are saying in fact I wrote the code below to do an integration over a square. However this converges really slowy and I was hoping for something a bit more safisticated if that makes sense. For example in python there is the qmcpy library where they use a bit more machinery for better/faster convergence.
sampleN = 10000000;
w = a + (b - a)*rand(d,sampleN);
MC = (1/sampleN)*sum(fun(w));