MATLAB: Kron efficiency

kron efficiency ode solver

Hi all, I have a matlab program whose bottleneck according to the profiler is the kron function. The program basically is a ode solver, but the dydt matrix is built by making extensive use of the kron function, so that the bottleneck of the ode solver is defining the dydt matrix.

Do you have any suggestion on how this could be optimized?

Thanks!

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MATLAB: Efficiency help

for p = 1 : length(unique_cell(1,:))
  max_inloop = ions{2,p}(1,:) ./ ions{1,p}(1,:);
  max_ion_list{p} = max_inloop;
  max_ion_list2{p} = 1 ./ max_inloop;
end

MATLAB: I am trying to convert a dense matrix into a sparse matrix to speed up the matrix multiplies, but it is running slowly. How to fix this

The computational bottleneck in this code comes from converting an existing dense matrix into a sparse matrix. If the matrix has only a few non-zero entries, sparse matrix multiplication will indeed be much more efficient. However, there may be a large overhead cost in constructing the sparse matrix from the dense matrix that exists. The cost of the conversion process may therefore negate the savings gained in the multiplication.The best option is to construct the matrix A to be sparse from the beginning, rather than building it as a dense matrix and converting it:

>> A = sparse(i, j, s, m, n);

This will provide the performance gain of the sparse multiplication without the overhead cost of converting a dense matrix into a sparse matrix. However, if it s not possible to do so, then it could prove more efficient to simply perform a dense matrix multiplication.

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MATLAB: Efficiency help

MATLAB: I am trying to convert a dense matrix into a sparse matrix to speed up the matrix multiplies, but it is running slowly. How to fix this

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