Strategy to solve AXA=B with LAPACK

Open discussion regarding features, bugs, issues, vendors, etc.

Strategy to solve AXA=B with LAPACK

Postby rodrigoams » Sat Jun 16, 2012 3:14 pm

I'm trying to solve the linear system AXA=B with LAPACK. Matrices A and B are complex and symmetric 1000x1000. The matrix B is 70% filled with zeros and block diagonal but A is dense.

To solve the problem I rewrite the problem as AY=B, solves for Y with zgetrs and zgetrf.
After all, solves the system Y=XA as (XA)^T = Y^T = A^T*X^T => AX^T = Y^T.

To confirm that result, I use two dgemm calls to regain AXA that I expected it to be the matrix B.

The problem: The result of PROCEDURE2 don't agree with B! the Frobenius norm (zlange) of AXA after PROCEDURE2 is one order of magnitute grater than the original B matrix and is not at all symmetric!

I really appreciate suggestions! as don't understand what is going wrong with this very simple (5 LAPACK calls) procedure.

Thanks in advanced!
Posts: 1
Joined: Sat Jun 16, 2012 2:46 pm

Re: Strategy to solve AXA=B with LAPACK

Postby rvdg » Sat Jul 14, 2012 6:11 pm

Is A by any chance Hermitian Positive Definite?
Posts: 8
Joined: Mon Feb 13, 2006 7:56 pm

Return to User Discussion

Who is online

Users browsing this forum: No registered users and 10 guests