**Up to [cvs.NetBSD.org] / pkgsrc / math / arpack**

Request diff between arbitrary revisions

Default branch: MAIN

Revision **1.4**, *Fri Mar 13 07:48:57 2020 UTC* (6 months, 1 week ago) by *plunky*

Branch: **MAIN
**

CVS Tags: **HEAD
**

Changes since **1.3: +0 -0
lines***FILE REMOVED*

Remove math/arpack successor math/arpack-ng No arpack release has been published by Rice University for many years, and arpack-ng aims to provide a common repository of community fixes with a testsuite.

Revision **1.3** / (**download**) - annotate - [select for diffs], *Mon Apr 8 18:29:41 2013 UTC* (7 years, 5 months ago) by *asau*

Branch: **MAIN
**

CVS Tags: **pkgsrc-2019Q4-base,
pkgsrc-2019Q4,
pkgsrc-2019Q3-base,
pkgsrc-2019Q3,
pkgsrc-2019Q2-base,
pkgsrc-2019Q2,
pkgsrc-2019Q1-base,
pkgsrc-2019Q1,
pkgsrc-2018Q4-base,
pkgsrc-2018Q4,
pkgsrc-2018Q3-base,
pkgsrc-2018Q3,
pkgsrc-2018Q2-base,
pkgsrc-2018Q2,
pkgsrc-2018Q1-base,
pkgsrc-2018Q1,
pkgsrc-2017Q4-base,
pkgsrc-2017Q4,
pkgsrc-2017Q3-base,
pkgsrc-2017Q3,
pkgsrc-2017Q2-base,
pkgsrc-2017Q2,
pkgsrc-2017Q1-base,
pkgsrc-2017Q1,
pkgsrc-2016Q4-base,
pkgsrc-2016Q4,
pkgsrc-2016Q3-base,
pkgsrc-2016Q3,
pkgsrc-2016Q2-base,
pkgsrc-2016Q2,
pkgsrc-2016Q1-base,
pkgsrc-2016Q1,
pkgsrc-2015Q4-base,
pkgsrc-2015Q4,
pkgsrc-2015Q3-base,
pkgsrc-2015Q3,
pkgsrc-2015Q2-base,
pkgsrc-2015Q2,
pkgsrc-2015Q1-base,
pkgsrc-2015Q1,
pkgsrc-2014Q4-base,
pkgsrc-2014Q4,
pkgsrc-2014Q3-base,
pkgsrc-2014Q3,
pkgsrc-2014Q2-base,
pkgsrc-2014Q2,
pkgsrc-2014Q1-base,
pkgsrc-2014Q1,
pkgsrc-2013Q4-base,
pkgsrc-2013Q4,
pkgsrc-2013Q3-base,
pkgsrc-2013Q3,
pkgsrc-2013Q2-base,
pkgsrc-2013Q2
**

Changes since **1.2: +35 -23
lines**

Diff to previous 1.2 (colored)

Revert pkglint-induced nonsense.

Revision **1.2** / (**download**) - annotate - [select for diffs], *Sun Apr 7 20:49:37 2013 UTC* (7 years, 5 months ago) by *rodent*

Branch: **MAIN
**

Changes since **1.1: +23 -35
lines**

Diff to previous 1.1 (colored)

Edited DESCR in the case of: File too long (should be no more than 24 lines). Line too long (should be no more than 80 characters). Trailing empty lines. Trailing white-space. Trucated the long files as best as possible while preserving the most info contained in them.

Revision **1.1.1.1** / (**download**) - annotate - [select for diffs] *(vendor branch)*, *Tue May 29 16:38:01 2012 UTC* (8 years, 3 months ago) by *asau*

Branch: **TNF
**

CVS Tags: **pkgsrc-base,
pkgsrc-2013Q1-base,
pkgsrc-2013Q1,
pkgsrc-2012Q4-base,
pkgsrc-2012Q4,
pkgsrc-2012Q3-base,
pkgsrc-2012Q3,
pkgsrc-2012Q2-base,
pkgsrc-2012Q2
**

Changes since **1.1: +0 -0
lines**

Diff to previous 1.1 (colored)

Import ARPACK 96 as math/arpack. Contributed to pkgsrc-wip by Jason Bacon. ARPACK is a collection of Fortran77 subroutines designed to solve large scale eigenvalue problems. The package is designed to compute a few eigenvalues and corresponding eigenvectors of a general n by n matrix A. It is most appropriate for large sparse or structured matrices A where structured means that a matrix-vector product w <- Av requires order n rather than the usual order n**2 floating point operations. This software is based upon an algorithmic variant of the Arnoldi process called the Implicitly Restarted Arnoldi Method (IRAM). When the matrix A is symmetric it reduces to a variant of the Lanczos process called the Implicitly Restarted Lanczos Method (IRLM). These variants may be viewed as a synthesis of the Arnoldi/Lanczos process with the Implicitly Shifted QR technique that is suitable for large scale problems. For many standard problems, a matrix factorization is not required. Only the action of the matrix on a vector is needed. 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: o Reverse Communication Interface. o Single and Double Precision Real Arithmetic Versions for Symmetric, Non-symmetric, Standard or Generalized Problems. o Single and Double Precision Complex Arithmetic Versions for Standard or Generalized Problems. o Routines for Banded Matrices - Standard or Generalized Problems. o Routines for The Singular Value Decomposition. o Example driver routines that may be used as templates to implement numerous Shift-Invert strategies for all problem types, data types and precision.

Revision **1.1** / (**download**) - annotate - [select for diffs], *Tue May 29 16:38:01 2012 UTC* (8 years, 3 months ago) by *asau*

Branch: **MAIN
**

Initial revision

CVSweb <webmaster@jp.NetBSD.org>