I'm computing with sparse rational matrices of moderate size (about
55x55). Curiously, a lot of time seems to be spent in functions
constructing matrices, for instance from list of sparse vectors.
112 0.385 0.003 0.772 0.007 constructor.py:33
(matrix)
369/321 0.012 0.000 0.419 0.001 matrix_space.py:256
(__call__)
12 0.311 0.026 0.313 0.026 matrix_space.py:1216
(list_to_dict)
1566 0.190 0.000 0.214 0.000 free_module.py:736
(__call__)
2 0.043 0.021 0.197 0.098 {method 'stack' of
'sage.matrix.matrix1.Matrix' objects}
Any advice on possible speedups? Is there some kind of specialized
library that implements faster matrices?
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