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But using %lu solved the issue Lu decomposition error asked 6 years, 7 months ago modified 2 years, 8 months ago viewed 19k times Actually, rather than focusing on the problem and the line of codes, i want to know about the difference between %ul and %lu

Lu Kwan (@lu.kwan) on Threads

Maybe i could figure out what's wrong The solutions are computed using. Searching doesn't give me something useful (except that they are different)

Any explanation or link/reference is appreciated.

689 %lu is the correct format for unsigned long Sounds like there are other issues at play here, such as memory corruption or an uninitialized variable Perhaps show us a larger picture? 9 what is the difference between %zu and %lu in string formatting in c

%lu is used for unsigned long values and %zu is used for size_t values, but in practice, size_t is just an unsigned long Cppcheck complains about it, but both work for both types in my experience. Conventional wisdom states that if you are solving ax = b several times with the same a and a different b, you should be using an lu factorization for lu If i use p, l, u = scipy.linalg.lu(a) and.

Toc elapsed time is 0.016663 seconds

Which is about 2x faster than my cpu Asked 10 years, 11 months ago modified 9 years, 9 months ago viewed 27k times I know there is a very similar question and answer on stackoverflow (here), but this seems to be distinctly different I am using statsmodels v 0.13.2, and i am using an arima model as opposed to a

Chaining scipy's scipy.linalg.lu_factor() and scipy.linalg.lu_solve() is perfectly equivalent to numpy's numpy.linalg.solve() Nevertheless, having access to the lu decomposition is a great advantage in practical situations First, let's proove the equivalence