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Calculate the determinant by Gaussian method (Python - Lab)
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import numpy as np | |
def mcd(x, y): | |
while y != 0: | |
x, y = y, x % y | |
return x | |
def equiv(A, m, n): | |
x, y = A[m, m], A[n, m] | |
if x == 0 or y == 0: | |
return 1 | |
z = mcd(x, y) | |
x /= z | |
y /= z | |
if x != y: | |
A[m] *= y | |
A[n] *= x | |
A[n] -= A[m] | |
return 1 if x == y else x * y | |
def det(A): | |
q, d, n = 1, 1, len(A) | |
for i in range(n): | |
for j in range(n - i - 1): | |
q *= equiv(A, i, j + i + 1) | |
d *= A[i, i] | |
return d / q | |
a = np.array([ | |
[2, 0, 2, 4], | |
[3, 3, 1, 2], | |
[0, 1, 3, 1], | |
[4, 1, 7, 1], | |
], dtype=float) | |
print(a) | |
print(np.linalg.det(a)) | |
print("......") | |
r = det(a) | |
print(a) | |
print(r) | |
print("......") |
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