Arnoldi algorithms in ScaLAPACK

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Arnoldi algorithms in ScaLAPACK

Postby makarem » Fri Feb 10, 2012 12:20 pm

Dear all,
I'm a new user of LAPACK/ScaLAPACK. I want to developp the Expliciltly Restarted Arnoldi Method ( ERAM ) to compute few eigenvalues of a large dense non Hermitien matrix.
I need to use the Arnoldi projection method to reduce a large matrix A of order n to an upper hessenberg matrix H of order m with m << n.
So my question is: is there in ScaLAPACK library a subroutine that implement the Arnoldi or the Gram–Schmidt algorithms.
Thak you in advance for your help.
Best regards
Makarem
makarem
 
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Re: Arnoldi algorithms in ScaLAPACK

Postby Julien Langou » Wed Feb 15, 2012 9:45 am

There is no Gram-Scmidt nor Arnoldi in ScaLAPACK nor LAPACK.
You may have look at ARPACK or PARPACK. If you need only a
few of the eigenvalues and the matrix is large, then using ARPACK
or PARPACK is good idea. Cheers,
Julien.
Julien Langou
 
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Location: Denver, CO, USA

Re: Arnoldi algorithms in ScaLAPACK

Postby makarem » Fri Feb 17, 2012 10:54 am

OK, thank you for your answer.
makarem
 
Posts: 3
Joined: Fri Feb 10, 2012 10:42 am


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