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Bug#132380: marked as done (ITP: arpack -- Fortran77 subroutines designed to solve large scale eigenvalue problems. )



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From: "Christophe Prud'homme" <prudhomm@MIT.EDU>
Reply-To: prudhomm@debian.org
Organization: MIT
To: submit@bugs.debian.org
Subject: ITP: arpack -- Fortran77 subroutines designed to solve large scale eigenvalue problems. 
Date: Mon, 4 Feb 2002 16:40:27 -0500
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Package: wnpp
Version: N/A
Severity: wishlist

* Package name    : arpack
  Upstream Authors : Rich Lehoucq, Kristi Maschhoff, Danny Sorensen,  Cha=
o Yang=20
* URL             : http://www.caam.rice.edu/software/ARPACK/
* License         : public domain
  Description     : ARPACK is a collection of Fortran77 subroutines desig=
ned to solve large scale eigenvalue problems.=20

The package is designed to compute a few eigenvalues and corresponding ei=
genvectors of a general n by n matrix A.=20
It is most appropriate for large sparse or structured matrices A where st=
ructured means that a matrix-vector=20
product w <- Av requires order n rather than the usual order n2 floating =
point operations. This software is based=20
upon an algorithmic variant of the Arnoldi process called the Implicitly =
Restarted Arnoldi Method (IRAM).=20
When the matrix A is symmetric it reduces to a variant of the Lanczos pro=
cess called the Implicitly=20
Restarted Lanczos Method (IRLM). These variants may be viewed as a synthe=
sis of the Arnoldi/Lanczos process=20
with the Implicitly Shifted QR technique that is suitable for large scale=
 problems. For many standard problems,=20
a matrix factorization is not required. Only the action of the matrix on =
a vector is needed.=20

ARPACK software is capable of solving large scale symmetric, nonsymmetric=
, and generalized eigenproblems=20
from significant application areas. The software is designed to compute a=
 few (k) eigenvalues with user
 specified features such as those of largest real part or largest magnitu=
de. Storage requirements are
 on the order of n*k locations. No auxiliary storage is required. A set o=
f Schur basis vectors for the
 desired k-dimensional eigen-space is computed which is numerically ortho=
gonal to working precision.=20
Numerically accurate eigenvectors are available on request.=20

Important Features:=20

Reverse Communication Interface.=20
Single and Double Precision Real Arithmetic Versions for Symmetric, Non-s=
ymmetric,=20
Standard or Generalized Problems.=20
Single and Double Precision Complex Arithmetic Versions for Standard or G=
eneralized Problems.=20
Routines for Banded Matrices - Standard or Generalized Problems.=20
Routines for The Singular Value Decomposition.=20
Example driver routines that may be used as templates to implement numero=
us Shift-Invert=20
strategies for all problem types, data types and precision.=20

C.
--=20
| Christophe Prud'homme, http://augustine.mit.edu/~prudhomm
| ICQ UIN: 24560867 Alias: Jesunix
| Key fingerprint =3D 3703 50DE 7A9F 024E 0F26  0D07 A18F B40B D4BE 1450
|
|              Debian/GNU/Linux -- A Technical And Social Revolution

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From: "Christophe Prud'homme" <prudhomm@MIT.EDU>
Reply-To: prudhomm@debian.org
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To: 132380-done@bugs.debian.org
Subject: packaged!
Date: Mon, 18 Feb 2002 17:34:23 -0500
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- --=20
| Christophe Prud'homme, http://augustine.mit.edu/~prudhomm
| ICQ UIN: 24560867 Alias: Jesunix
| Key fingerprint =3D 3703 50DE 7A9F 024E 0F26  0D07 A18F B40B D4BE 1450
|
| So so is good, very good, very excellent good: and yet it is not;
| it is but so so.
| -- William Shakespeare, "As You Like It"
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