Scilab Reference Manual |
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lu — LU factors of Gaussian elimination
[L,U]= lu(A) [L,U,E]= lu(A)
A | : real or complex matrix (m x n). |
L | : real or complex matrices (m x min(m,n)). |
U | : real or complex matrices (min(m,n) x n ). |
E | : a (n x n) permutation matrix. |
[L,U]= lu(A) produces two matrices L and U such that A = L*U with U upper triangular and E*L lower triangular for a permutation matrix E.
If A has rank k, rows k+1 to n of U are zero.
[L,U,E]= lu(A) produces three matrices L, U and E such that E*A = L*U with U upper triangular and E*L lower triangular for a permutation matrix E.
If A is a real matrix, using the function lufact and luget it is possible to obtain the permutation matrices and also when A is not full rank the column compression of the matrix L.
a=rand(4,4); [l,u]=lu(a) norm(l*u-a) [h,rk]=lufact(sparse(a)) // lufact fonctionne avec des matrices creuses [P,L,U,Q]=luget(h); ludel(h) P=full(P);L=full(L);U=full(U);Q=full(Q); norm(P*L*U*Q-a) // P,Q sont des matrices de permutation
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