sparse function is intrisically slow?

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Jiangtao Lu
Jiangtao Lu 2020-5-7
评论： Yingzhi Liu 2022-3-19
I am building the sparse matrix using the function sparse(I,J,V,N,N)
I, J and V are already a column vector. I checked previous questions, it seems already being the best way. But, it takes extreamely long time if the size goes to 1E5.
Any way out? Thanks!
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James Tursa
James Tursa 2020-5-12
OK. Are the values in the double vector stored in the same memory order as the sparse matrix columns? Can you give a small example of your indexing and values vector? I'm asking all of these questions to see if a mex routine could work for you.
Jiangtao Lu
Jiangtao Lu 2020-5-12
编辑：Jiangtao Lu 2020-5-12
I am not clear to that question. The calculation is like:
work.jacValueIndex = numC*(work.g(work.J)-1)+work.I;
jacValue = df(work.jacValueIndex)./dc(work.J);
jac = sparse(work.I,work.J,jacValue,numC,numC);
I attached an example of work and jacValue

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回答（1 个）

Robert
Robert 2020-12-24
I was able to speed my sparse matrix build for very large problems by using sparse2.m (mexFunction) from SuiteSparse.
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Yingzhi Liu
Yingzhi Liu 2022-3-19
I downloaded SuiteSparse, but I don't konw how sould I do to use sparse2.m in matlab. Can you help me list the steps after downloaded SuiteSparse? Thanks.

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