"Fossies" - the Fresh Open Source Software Archive 
Member "readme" (13 Aug 1995, 2598 Bytes) of package /linux/privat/old/laspack.tgz:
As a special service "Fossies" has tried to format the requested text file into HTML format (style:
standard) with prefixed line numbers.
Alternatively you can here
view or
download the uninterpreted source code file.
1 LASPack (version 1.12.2)
2
3 Tomas Skalicky
4 (skalicky@msmfs1.mw.tu-dresden.de)
5
6 last revision: August 13, 1995
7
8 -------------------------------------------------------------------------------
9
10 LASPack is a package for solving large sparse systems of linear equations
11 like those which arise from discretization of partial differential equations.
12
13 Main features:
14
15 - The primary aim of LASPack is the implementation of efficient iterative
16 methods for the solution of systems of linear equations. All routines and
17 data structures are optimized for effective usage of resources especially
18 with regard to large sparse matrices. The package can be accessed from
19 an application through a straightforward interface defined in the form
20 of procedure calls.
21
22 - Beside the obligatory Jacobi, succesive over-relaxation, Chebyshev, and
23 conjugate gradient solvers, LASPack contains selected state-of-the-art
24 algorithms which are commonly used for large sparse systems:
25
26 - CG-like methods for non-symmetric systems: CGN, GMRES, BiCG, QMR, CGS, and
27 BiCGStab,
28 - multilevel methods such as multigrid and conjugate gradient method
29 preconditioned by multigrid and BPX preconditioners.
30
31 All above solvers are applicable not only to the positive definite or
32 non-symmetric matrices, but are also adopted for singular systems
33 (e.g. arising from discretization of Neumann boundary value problems).
34
35 - The implementation is based on an object-oriented approach (although it
36 has been programmed in C). Vectors and matrices are defined as new data
37 types in connection with the corresponding supporting routines.
38 The basic operations are implemented so that they allow the programming
39 of linear algebra algorithms in a natural way.
40
41 - LASPack is extensible in a simple manner. An access to the internal
42 representation of vectors and matrices is not necessary and is, as required
43 of the object-oriented programming, avoided. This allows an improvement
44 of algorithms or a modification of data structures with no adjustment
45 of application programs using the package.
46
47 - LASPack is written in ANSI C and is thus largely portable.
48
49
50 A complete description of the package (including the installation procedure)
51 you may find in LASPack Reference Manual in the following postscript files:
52
53 laspack/doc/laspack1.ps
54 laspack/doc/laspack2.ps
55
56 A HTML version of the manual is also available available at:
57
58 laspack/html/laspack.html
59
60 or
61
62 http://www.tu-dresden.de/mwism/skalicky/laspack/laspack.html