I have an array of values $f[x,y]$ which was calculated numerically for "grid" ${x,y}$ and I have steps ${dx,dy}$.

I would like to know how can I perform numerical integration, $$\sum_{i,j}dx_idx_jf(x_i,y_j)$$ with high precision. I use simply


I assume that there is a function in Mathematica which does it with higher precision. Or, can anyone suggest where can I found Mathematica realizations of methods of numerical integration (like Simpson's rule, etc.)

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    $\begingroup$ I recently did such an operation with an array {x,y,z}, where x and y represented points on an irregular mesh, and z - the values in these points. I did it as follows. First, used the 1st order interpolation to get an interpolation function. Second, I integrated it using NIntegrate routine, and, by trial and error, selected a suitable numeric strategy. Hope this helps. $\endgroup$ – Alexei Boulbitch Jun 28 '20 at 12:21
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    $\begingroup$ array.dy.dx is a speedier equivalent to your Sum, assuming array is the array of values $f[x_i,y_j]$. Your Sum code suggests you have access to f, so you could use NIntegrate on it. With NIntegrate, you would probably get a more satisfactory result. If you have access only to the data, then interpolating as @Alexei suggests is a good idea. Most likely one could avoid NIntegrate and directly apply the rule associated with interpolation, or use FEM to do it. $\endgroup$ – Michael E2 Jun 28 '20 at 15:09
  • $\begingroup$ @MichaelE2 unfortunately I have extremely small values of f[x,y]. Thank you for advice with array.dy.dx. Can I simply use my array as the argument of NIntegrate? $\endgroup$ – Artem Alexandrov Jun 28 '20 at 15:15
  • $\begingroup$ No, the argument to NIntegrate has to be a function. $\endgroup$ – Michael E2 Jun 28 '20 at 15:19
  • $\begingroup$ @MichaelE2 firstly I misunderstand your point about f. I have not f explicitly. $\endgroup$ – Artem Alexandrov Jun 28 '20 at 15:19

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