RosettaCodeData/Task/LU-decomposition/Python/lu-decomposition.py
2026-04-30 12:34:36 -04:00

44 lines
1.2 KiB
Python

from pprint import pprint
def matrixMul(A, B):
TB = list(zip(*B))
return [[sum(ea * eb for ea, eb in zip(a, b)) for b in TB] for a in A]
def pivotize(m):
"""Creates the pivoting matrix for m."""
n = len(m)
ID = [[float(i == j) for i in range(n)] for j in range(n)]
for j in range(n):
row = max(range(j, n), key=lambda i: abs(m[i][j]))
if j != row:
ID[j], ID[row] = ID[row], ID[j]
return ID
def lu(A):
"""Decomposes a nxn matrix A by PA=LU and returns L, U and P."""
n = len(A)
L = [[0.0] * n for i in range(n)]
U = [[0.0] * n for i in range(n)]
P = pivotize(A)
A2 = matrixMul(P, A)
for j in range(n):
L[j][j] = 1.0
for i in range(j + 1):
s1 = sum(U[k][j] * L[i][k] for k in range(i))
U[i][j] = A2[i][j] - s1
for i in range(j, n):
s2 = sum(U[k][j] * L[i][k] for k in range(j))
L[i][j] = (A2[i][j] - s2) / U[j][j]
return (L, U, P)
a = [[1, 3, 5], [2, 4, 7], [1, 1, 0]]
for part in lu(a):
pprint(part, width=19)
print()
print()
b = [[11, 9, 24, 2], [1, 5, 2, 6], [3, 17, 18, 1], [2, 5, 7, 1]]
for part in lu(b):
pprint(part)
print()