Program for ... HELP!!!
jepler at unpythonic.net
Wed Sep 4 13:57:47 EDT 2002
One method is to perform LU decomposition of the matrix, then take
det(U) which is simply the product of the elements on the diagonals.
(det(A) = det(L)det(U) since A=LU, but det(L)=1 and U is triangular).
You can find a description of LU decomposition in any decent numerical
analysis text, or online. You could also try the search term "gaussian
LU decomposition is probably expressible most clearly as iteration, not
recursion. There is a method whose name escapes me which involves
taking the sum of factors like
(-1)^(j+k) * A_jk * det(A with the row and column passing through jk removed)
which is naturally recursive, but this is not a "good" algorithm: it'll
take much longer than the O(n^3) operations of LU decomposition.
I don't know if there are better methods for finding determinants,
the LU method is the only one explored at length in the text I have on
If you're having trouble representing matricies in Python, well, that's
another matter. As another poster suggested, you should probably get
the "Numeric" package.
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