I am trying to find the determinant of a 4x4 matrix using nested list operations. I gave the following code
def determinant_4x4(matrix: list[list[int|float]]) -> float:
# Your recursive implementation here
def recursedet(matrix):
if len(matrix) == 2:
return matrix[0][0]*matrix[1][1] - matrix[0][1]*matrix[1][0]
sum = 0
for i in range(len(matrix)):
ele = matrix[0][i]
del matrix[0]
for row in matrix:
del row[i]
sum += ele*((-1)**i)*recursedet(matrix)
return sum
return recursedet(matrix)
But I am getting the error: IndexError: list index out of range
However, when I asked GPT to rectify this, it said that my code gave the same output as the rectified version but the matrix was corrupted. Can anybody help me understand what does this mean?
I am trying to find the determinant of a 4x4 matrix using nested list operations. I gave the following code
def determinant_4x4(matrix: list[list[int|float]]) -> float:
# Your recursive implementation here
def recursedet(matrix):
if len(matrix) == 2:
return matrix[0][0]*matrix[1][1] - matrix[0][1]*matrix[1][0]
sum = 0
for i in range(len(matrix)):
ele = matrix[0][i]
del matrix[0]
for row in matrix:
del row[i]
sum += ele*((-1)**i)*recursedet(matrix)
return sum
return recursedet(matrix)
But I am getting the error: IndexError: list index out of range
However, when I asked GPT to rectify this, it said that my code gave the same output as the rectified version but the matrix was corrupted. Can anybody help me understand what does this mean?
Share Improve this question asked Mar 27 at 6:05 Shreyas MishraShreyas Mishra 111 bronze badge 5 |1 Answer
Reset to default 2The error occurs because your code is modifying the original matrix during the recursive calls, which leads to incorrect submatrix dimensions and eventually an IndexError
.
Problems in your code are:
del matrix[0]
removes the first row permanently.del row[i]
modifies each row, which reduces the matrix's width.Since you are not making a copy of
matrix
for each recursive call, it gets progressively smaller and incorrect.
Solution:
def determinant_4x4(matrix: list[list[int | float]]) -> float:
def recursedet(matrix):
if len(matrix) == 2:
return matrix[0][0] * matrix[1][1] - matrix[0][1] * matrix[1][0]
total = 0
for i in range(len(matrix)):
ele = matrix[0][i]
# Create a minor matrix without modifying the original
minor = [row[:i] + row[i+1:] for row in matrix[1:]]
total += ele * ((-1) ** i) * recursedet(minor)
return total
return recursedet(matrix)
# Example usage
matrix_4x4 = [
[2, 3, 1, 5],
[1, 0, 2, 4],
[3, 1, 4, 2],
[2, 5, 3, 1]
]
print(determinant_4x4(matrix_4x4))
matrix[0]
and that won't exist if matrix is empty. Please do note that I haven't actually run your code. Just a note. – ewokx Commented Mar 27 at 6:14list[list[int|float]
over anumpy
array? Is this an assignment? Anyway, for a recursive determinant function I would rather slice the portions you need to pass into the recursion. Avoid to delete in-place, you are pulling the ground from your own feet. – André Commented Mar 27 at 6:44