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We need to solve a linear system with a dense matrix of complex numbers.
When the size of the matrix is lower than 4 GB (Microsoft limits for 64 bit systems) we can use MKL routines directly to solve:
Instead when the matrix is bigger than 4 GB we divide the matrix in blocks:
The linear system becomes:
From (1) we obtain:
Solving equation (6) the solution x2 is obtained.
Using x2 in (3) it is easy to calculate x1.
This algorithm is interesting but introduces a matrix inversion.
This is a big problem when the linear system is ill conditioned.
Any suggestion to solve the problem avoiding the matrix inversion?
Thankyou
Gianluca
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Answered on initial thread https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/748079#comment-1914725
Thanks,
Alex
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