Matrix inverse problem# Unix - 噫吁兮,危乎高哉
F*r
1 楼
Does anybody have the idea how to solve
( a )*x = ( b )
where a is a matrix with m rows and n columns, b is an
m-vector, we want to get x.
the matrix a is intended to be large and sparse, has hundred thousands
of rows and thousands of column.
it is parse damped linear least-squares problems
Does anybody know the parallel version library to do this?
I only found the non-parallel version in nag library,F04QAF works.
Still did not the parallel function.
any idea?
Thanks a lot
I can't
( a )*x = ( b )
where a is a matrix with m rows and n columns, b is an
m-vector, we want to get x.
the matrix a is intended to be large and sparse, has hundred thousands
of rows and thousands of column.
it is parse damped linear least-squares problems
Does anybody know the parallel version library to do this?
I only found the non-parallel version in nag library,F04QAF works.
Still did not the parallel function.
any idea?
Thanks a lot
I can't