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math/irlba-2.1.1 (Score: 0.10508093)
Fast partial SVD by implicitly-restarted Lanczos bidiagonalization
A fast and memory-efficient method for computing a few approximate singular values and singular vectors of large matrices.
math/mbasecalc-1.1 (Score: 0.10508093)
Simple calculator program inspired by basecalc
basecalc came with Xlib Programming Manual from O'Reilly as an example of X lib programming. mbasecalc is an immitation of basecalc which is available on different platforms.
math/metis-5.1.0 (Score: 0.10508093)
Package for unstructured graph partitioning
METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill-reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes developed in our lab. METIS provides high-quality partitions, is extremely fast, and produces low-fill orderings.
math/metis4-4.0.3 (Score: 0.10508093)
Package for unstructured graph partitioning
METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill-reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes developed in our lab. METIS provides high-quality partitions, is extremely fast, and produces low-fill orderings.
math/libgmp-6.0.0 (Score: 0.10508093)
Library for arbitrary precision arithmetic (MinGW32)
GMP is a free library for arbitrary precision arithmetic, operating on signed integers, rational numbers, and floating point numbers. There is no limit to the precision except the ones implied by the available memory in the machine GMP runs on. GMP has a rich set of functions, and the functions have a regular interface. This port compiles libgmp using MinGW32.
math/minisat-2.2.1 (Score: 0.10508093)
Minimalistic, open-source SAT solver
MiniSat is a minimalistic, open-source SAT solver, developed to help researchers and developers alike to get started on SAT. It is released under the MIT licence, and is currently used in a number of projects. Some key features of MiniSat: - Easy to modify. MiniSat is small and well-documented, and possibly also well-designed, making it an ideal starting point for adapting SAT based techniques to domain specific problems. - Highly efficient. Winning all the industrial categories of the SAT 2005 competition, MiniSat is a good starting point both for future research in SAT, and for applications using SAT. - Designed for integration. MiniSat supports incremental SAT and has mechanisms for adding non-clausal constraints. By virtue of being easy to modify, it is a good choice for integrating as a backend to another tool, such as a model checker or a more generic constraint solver.
math/mosesdecoder-2.1.1 (Score: 0.10508093)
A statistical machine translation system
Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair. All you need is a collection of translated texts (parallel corpus). Once you have a trained model, an efficient search algorithm quickly finds the highest probability translation among the exponential number of choices.
math/mpc-1.0.3 (Score: 0.10508093)
Library of complex numbers with arbitrarily high precision
Mpc is a C library for the arithmetic of complex numbers with arbitrarily high precision and correct rounding of the result. It is built upon and follows the same principles as Mpfr. The library is written by Andreas Enge, Philippe Theveny and Paul Zimmermann and is distributed under the Gnu Lesser General Public License, either version 2.1 of the license, or (at your option) any later version. The Mpc library has been registered in France by the Agence pour la Protection des Programmes on 2003-02-05 under the number IDDN FR 001 060029 000 R P 2003 000 10000.
math/stabledist-0.7.1 (Score: 0.10508093)
Stable Distribution Functions
A collection and description of functions to compute density, distribution and quantile function and to generate random variates of the stable distribution.
math/facile-1.1.2 (Score: 0.10508093)
Functional Constraint Library
FaCiLe is a constraint programming library on integer and integer set finite domains written in OCaml. It offers all usual facilities to create and manipulate finite domain variables, arithmetic expressions and constraints, built-in global constraints and search and optimization goals. FaCiLe allows as well to build easily user-defined constraints and goals, making pervasive use of OCaml higher-order functionals to provide a simple and flexible interface for the user.