arpack 3.0.2-3 source package in Ubuntu
Changelog
arpack (3.0.2-3) unstable; urgency=low [ Nobuhiro Iwamatsu ] * Fix FTBFS on sh4 and sparc64 (Closes: #655305) -- Sylvestre Ledru <email address hidden> Wed, 11 Jan 2012 07:19:58 +0100
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any
- Section:
- math
- Urgency:
- Low Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Precise | release | universe | math |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| arpack_3.0.2-3.dsc | 1.7 KiB | 55a0a05425cb43902cda01e21cd6a81581c1306bc7ae403987b19c9d2b637326 |
| arpack_3.0.2.orig.tar.gz | 1.2 MiB | 4add769386e0f6b0484491bcff129c6f5234190dbf58e07cc068fbd5dc7278bf |
| arpack_3.0.2-3.debian.tar.gz | 10.0 KiB | 4ae22a09ab2d9862705dc24347e6c80b07168b2178d3c73802b94032f95a1d8c |
Available diffs
- diff from 3.0.1-1 (in Ubuntu) to 3.0.2-3 (24.6 KiB)
No changes file available.
Binary packages built by this source
- libarpack2: Fortran77 subroutines to solve large scale eigenvalue problems
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems 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 magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
Important Features:
.
* Reverse Communication Interface.
* Single and Double Precision Real Arithmetic Versions for Symmetric,
Non-symmetric,
* Standard or Generalized Problems.
* Single and Double Precision Complex Arithmetic Versions for Standard or
Generalized Problems.
* Routines for Banded Matrices - Standard or Generalized Problems.
* Routines for The Singular Value Decomposition.
* Example driver routines that may be used as templates to implement
numerous Shift-Invert strategies for all problem types, data types and
precision.
.
This package contains the shared library.
- libarpack2-dbg: Fortran77 subroutines to solve large scale eigenvalue problems (debug)
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems 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 magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
This package contains the debugging symbols for libarpack and libparpack.
- libarpack2-dev: Fortran77 subroutines to solve large scale eigenvalue problems (development)
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems 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 magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
This package contains the static libraries and the documentation for
development with libarpack (including examples).
- libparpack2: Parallel subroutines to solve large scale eigenvalue problems
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems 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 magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
Important Features:
.
* Reverse Communication Interface.
* Single and Double Precision Real Arithmetic Versions for Symmetric,
Non-symmetric,
* Standard or Generalized Problems.
* Single and Double Precision Complex Arithmetic Versions for Standard or
Generalized Problems.
* Routines for Banded Matrices - Standard or Generalized Problems.
* Routines for The Singular Value Decomposition.
* Example driver routines that may be used as templates to implement
numerous Shift-Invert strategies for all problem types, data types and
precision.
.
This package provides parpack: the MPI implementation of arpack.
.
This package contains the shared library.
- libparpack2-dbg: No summary available for libparpack2-dbg in ubuntu quantal.
No description available for libparpack2-dbg in ubuntu quantal.
- libparpack2-dev: Parallel subroutines to solve large scale eigenvalue problems (development)
ARPACK software is capable of solving large scale symmetric,
nonsymmetric, and generalized eigenproblems 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 magnitude. Storage requirements are on the order
of n*k locations. No auxiliary storage is required. A set of Schur
basis vectors for the desired k-dimensional eigen-space is computed
which is numerically orthogonal to working precision. Numerically
accurate eigenvectors are available on request.
.
This package contains the static libraries and the documentation for
development with libparpack (including examples).
