arpack 3.9.1-ok1 source package in openKylin
Changelog
arpack (3.9.1-ok1) nile; urgency=medium * Build for openKylin. -- Luoyaoming <email address hidden> Wed, 24 Apr 2024 13:57:56 +0800
arpack (3.9.1-ok1) nile; urgency=medium * Build for openKylin. -- Luoyaoming <email address hidden> Wed, 24 Apr 2024 13:57:56 +0800
Series | Published | Component | Section | |
---|---|---|---|---|
Nile V2.0 | release | main | math | |
Nile V2.0 | proposed | main | math |
File | Size | SHA-256 Checksum |
---|---|---|
arpack_3.9.1.orig.tar.gz | 996.3 KiB | f6641deb07fa69165b7815de9008af3ea47eb39b2bb97521fbf74c97aba6e844 |
arpack_3.9.1-ok1.debian.tar.xz | 4.9 KiB | 9cad5caf0bdd3e404004c1c031c9fc404560e103d4d446ff41684e7a46f390f1 |
arpack_3.9.1-ok1.dsc | 2.1 KiB | 69dafdf6d23b0beb5268f63789280b1489e2788b92bc72ba67edd832b1409fa8 |
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).
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.
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).
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.