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 | 1 | initial version |
gaussian_binomial is faster, for one:
sage: %timeit a=q_analogues.q_binomial(20,10)
25 loops, best of 3: 8.45 ms per loop
sage: %timeit a=gaussian_binomial(20,10)
625 loops, best of 3: 1.52 ms per loop
Looking at the code makes me think that gaussian_binomial is strictly better than q_binomial, and the latter should be made an alias for the former. But perhaps I'm missing something.
| | 2 | No.2 Revision |
gaussian_binomial is faster, for one:
sage: %timeit a=q_analogues.q_binomial(20,10)
25 loops, best of 3: 8.45 ms per loop
sage: %timeit a=gaussian_binomial(20,10)
625 loops, best of 3: 1.52 ms per loop
Looking at the code makes me think that gaussian_binomial gaussian_binomial is strictly better than q_binomial, q_binomial, and the latter should be made an alias for the former. But perhaps I'm missing something.
