Am 07.12.20 um 17:59 schrieb Tito Sanò:
Regarding the solution of linear algebraic equations I noticed a big
difference in the computation
time in Python compared to the old fortran language.
I have compared both the linelg and lapack.dgesv-lapack.zgesv modules with
the fortan: dgelg and f04adf.
The difference in computation time is enormous:
for example for 430 degrees of freedom it is about 24 min in Python versus
about 1 sec in fortran.
There must be something seriously wrong. If I understand correctly, you
want to solve an 430x430 matrix with LU decompositino (that is what
dgesv from LAPACK does). The following code takes less than a second on
my machine:
==============430.py==============
import numpy as np
# create a 430x430 random matrix
A = np.random.randn(430,430)
# right hand side
b = np.ones(430)
# solve it
x = np.linalg.solve(A, b)
print(x)
====================================
time python3 430.py
real 0m0.318s
user 0m0.292s
sys 0m0.046s
If it takes longer than 1s, there is something wrong with your system.
Christian
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