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ParMGridGen-1.0 is a highly optimized serial and parallel library for obtaining a sequence of successive coarse grids that are well suited for geometric multigrid methods. The quality of the elements of the coarse grids is optimized using a multilevel framework. The parallel library is based on MPI and is portable to a wide range of architectures.

Numarray is a reimplementation of the original Python Numeric array module that provides Python with capbilities similar to Matlab, IDL, Octave, APL and other array-based languages. This version is still in its early stages and is not yet the official replacement for Numeric though we hope it will be before long. It is not fully backwards compatible with Numeric, particularly with regard to the C API.

PSPP is a program for statistical analysis of sampled data. It interprets commands in the SPSS language and produces tabular output in ASCII or PostScript format. PSPP development is ongoing. It already supports a large subset of SPSS's transformation language. Its statistical procedure support is currently limited, but growing.

SFST is a toolbox for the implementation of morphological analysers and other tools which are based on finite state transducer technology. The SFST tools comprise: -- a compiler which translates transducer programs into minimised transducers -- interactive and batch-mode analysis programs -- tools for comparing and printing transducers -- an efficient C++ transducer library Features: -- easy to learn for users who are familiar with grep, sed, or Perl. -- efficient implementation in C++ -- supports -- a wide range of transducer operations -- UTF-8 character coding -- weighted transducers (basic functionality only)

A class of units of physical quantities for Ruby. This class covers most functionality of UNIDATA's UDUNITS Library, however, with a more sophisticated handling of string expressions. UDUNITS always decomposes units into the four base units and discards the original string expressions. Therefore, 'hPa' always becomes '100 kg.m-1.sec-1', and 'day' always becomes '86400 sec'. On the other hand, this library tries to keep the original expressions as much as possible by default, while allowing partial to complete decompositions if needed.

SAGA - short hand for "System for Automated Geoscientific Analyses" - is a free, hybrid, cross-platform GIS software. The heart of SAGA is its C++ and thus object oriented Application Programming Interface (API), providing data object definitions and computational methods for raster, vector and tabular data. As a normal user, you will not get into touch with the API. But as an interested scientist or coder you will soon discover its great flexibility.

A S-Lang module to plot graphs using grace. Grace is a popular plotting tool that produces publication quality plots. The S-Lang module interacts with grace via pipes.

SNNS (Stuttgart Neural Network Simulator) is a software simulator for neural networks on Unix workstations developed at the Institute for Parallel and Distributed High Performance Systems (IPVR) at the University of Stuttgart. The goal of the SNNS project is to create an efficient and flexible simulation environment for research on and application of neural nets. The SNNS simulator consists of two main components: 1) simulator kernel written in C 2) graphical user interface under X The simulator kernel operates on the internal network data structures of the neural nets and performs all operations of learning and recall. It can also be used without the other parts as a C program embedded in custom applications. It supports arbitrary network topologies and the concept of sites. SNNS can be extended by the user with user defined activation functions, output functions, site functions and learning procedures, which are written as simple C programs and linked to the simulator kernel. The graphical user interface XGUI (X Graphical User Interface), built on top of the kernel, gives a 2D and a 3D graphical representation of the neural networks and controls the kernel during the simulation run. In addition, the 2D user interface has an integrated network editor which can be used to directly create, manipulate and visualize neural nets in various ways.

SPOOLES is a library for solving sparse real and complex linear systems of equations, written in the C language using object oriented design. At present, there is the following functionality: 1. Compute multiple minimum degree, generalized nested dissection and multisection orderings of matrices with symmetric structure. 2. Factor and solve square linear systems of equations with symmetric structure, with or without pivoting for stability. The factorization can be symmetric LDLT, Hermitian LDLH, or nonsymmetric LDU. A direct factorization or a drop tolerance factorization can be computed. The factors and solve can be done in serial mode, multithreaded with Solaris or POSIX threads, or with MPI. 3. Factor and solve overdetermined full rank systems of equations using a multifrontal QR factorization, in serial or using POSIX threads. 4. Solve square linear systems using a variety of Krylov iterative methods. The preconditioner is a drop tolerance factorization, with or without pivoting for stability.

SuiteSparse is a set of sparse matrices libraries. It contains: * AMD: symmetric approximate minimum degree * BTF: permutation to block triangular form (beta) * CCOLAMD: constrained column approximate minimum degree * COLAMD: column approximate minimum degree * CHOLMOD: sparse supernodal Cholesky factorization and update/downdate * KLU: sparse LU factorization, for circuit simulation (beta) * LDL: a simple LDL^T factorization * UMFPACK: sparse multifrontal LU factorization * UFconfig: common configuration for all of the above * CSparse: a concise sparse matrix package * CXSparse: and extended version of CSparse