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I'm trying to construct a large matrix which is derived from some higher rank tensor (the rank of interest to me changes case by case, so it needs to be a general method). Currently, the process of building the tensor is taking a huge amount of time. Schematically, the thing I'm trying to build (I think) looks like this.

latsize = 20;
d = 3;
t = Table[Symbol["t" <> ToString[i]], {i, d}];
s = Table[Symbol["s" <> ToString[i]], {i, d}];
dotprod = (t - s).(t - s);

Print["Time to do the whole thing = ", First[AbsoluteTiming[
ulimit = ConstantArray[latsize, 2 d];
llimit = ConstantArray[1, 2 d];
tablelimits = Transpose[{Join[t, s], llimit, ulimit}];
Print["Time to construct tensor = ", First[AbsoluteTiming[
   tensor = Table[dotprod, ##] & @@ tablelimits;
   ]]];
Print["Time to construct matrix = ", First[AbsoluteTiming[
   matrix = ArrayReshape[tensor, {latsize^d, latsize^d}];
   ]]];
]]];
Print["Total number of elements = ", Length@Flatten@tensor];

The process quickly becomes lengthy as d and latsize are increased. Any suggestions for how to speed this up?

share|improve this question
    
Have you looked at the Tensor functions: reference.wolfram.com/language/guide/SymbolicTensors.html ? I'm not sure what general tensor you're trying to build but multiple calls to KroneckerProduct ,TensorProduct and Outer might speed things up. –  Histograms May 21 at 10:23
    
Hi Histograms, I'm only concerned with building a large array with numerical entries. Right now the slowest part by far is the line: tensor = Table[dotprod, ##] & @@ tablelimits; So in the absence of a better way of doing the full calculation, really my question boils down to finding a faster way of constructing this Table with numerical entries. –  user12876 May 21 at 12:29
    
Could the post "What is the most efficient way to construct large block matrices in Mathematica?" be useful? So far I'm still struggling with it. –  user12876 May 21 at 13:14

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