| Tue, 21 May 2013 22:37:28 +0100 |
Chris Cannam |
Make sum, difference, scaled and abs use sparse operations and return sparse matrices if all inputs are sparse
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| Tue, 21 May 2013 22:36:39 +0100 |
Chris Cannam |
Implement add, subtract, scaled, abs
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| Tue, 21 May 2013 21:58:34 +0100 |
Chris Cannam |
Add general enumerate, ensure zeros fed in to makeSparse are not retained in non-zero lists; test
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| Tue, 21 May 2013 17:40:33 +0100 |
Chris Cannam |
Using hashes is simpler, but turns out to be mostly no faster and sometimes much slower. Not one to merge back.
sparse
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| Tue, 21 May 2013 16:00:21 +0100 |
Chris Cannam |
Merge from default branch
sparse
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| Tue, 21 May 2013 14:29:22 +0100 |
Chris Cannam |
Another minor improvement
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| Tue, 21 May 2013 12:11:40 +0100 |
Chris Cannam |
Proper sparse*sparse multiply, more efficient makeSparse. Still loads of room for improvement, but the timings are more predictable now at least.
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| Mon, 20 May 2013 22:17:35 +0100 |
Chris Cannam |
Merge from sparse branch
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| Mon, 20 May 2013 22:17:19 +0100 |
Chris Cannam |
A reasonable sparse multiply, and a bit quicker dense one
sparse
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| Mon, 20 May 2013 18:11:44 +0100 |
Chris Cannam |
Add speed tests
sparse
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| Mon, 20 May 2013 18:11:36 +0100 |
Chris Cannam |
Sparsity is actually density
sparse
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| Mon, 20 May 2013 18:11:20 +0100 |
Chris Cannam |
Sparsity is actually density
sparse
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| Mon, 20 May 2013 16:48:44 +0100 |
Chris Cannam |
Add newSparseMatrix to api (needs test)
sparse
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| Mon, 20 May 2013 16:46:38 +0100 |
Chris Cannam |
ColMajor -> ColumnMajor
sparse
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