Search Results for "programming c"
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Showing 43 open source projects for "programming c"
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Agena
Agena is an interpreted procedural programming language.
Agena is an easy-to-learn procedural programming language designed for science, scripting, and many other applications. Binaries are available for Windows, Linux, Solaris, OS/2, Mac OS X, Raspberry Pi and DOS. -
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calc: C-style arbitrary precision system
Calc: arbitrary precision C-like arithmetic & calculator
Calc is arbitrary precision C-like arithmetic system that is a calculator, an algorithm prototyper and mathematical research tool. Calc comes with a rich set of builtin mathematical and programmatic functions. -
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gretl
A cross-platform statistical package for econometric analysis
gretl is a cross-platform software package for econometric analysis, written in the C programming language. -
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Maxima -- GPL CAS based on DOE-MACSYMA
Computer Algebra System written in Common Lisp
Maxima is a computer algebra system comparable to commercial systems like Mathematica and Maple. It emphasizes symbolic mathematical computation: algebra, trigonometry, calculus, and much more. For example, Maxima solves x^2-r*x-s^2-r*s=0, giving the symbolic results [x=r+s, x=-s]. It can also calculate with exact integers and fractions, native floating-point, and high-precision big floats. Maxima has user-friendly front-ends, an online manual, plotting commands, and numerical... -
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lpsolve
Mixed Integer Linear Programming (MILP) solver.
Mixed Integer Linear Programming (MILP) solver lp_solve solves pure linear, (mixed) integer/binary, semi-cont and special ordered sets (SOS) models.lp_solve is written in ANSI C and can be compiled on many different platforms like Linux and WINDOWS This project is moved to github: https://lp-solve.github.io/ -
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A java decision supporting application for the urban planning domain. It is designed as a desktop frontend to a Mixed Integer Programming engine. Actually it uses the GNU Linear Programming Kit (GLPK).
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GLPK for Windows
Windows binaries for the GNU Linear Programming Kit (GLPK)
GLPK 4.65 (GNU Linear Programming Kit, http://www.gnu.org/software/glpk/) is a solver for large-scale linear programming (LP), and mixed integer programming (MIP). This project supplies the most recent Windows executables - 2018-03-17. Linux and OSX users should download the source distribution from http://ftp.gnu.org/gnu/glpk -
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Freemat is an interpreted, matrix-oriented development environment for engineering and scientific applications, similar to the commercial package MATLAB. Freemat provides visualization, image manipulation, and plotting as well as parallel programming.
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jointgen-c
A re-implementation of cl-jointgen in C
This is a re-implementation of cl-jointgen in the C programming language, for those that cannot get their head around Common Lisp. -
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RPy is a very simple, yet robust, Python interface to the R Programming Language. It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions).
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Trad4 is a fully concurrent, thread safe, graph-based programming language that scales linearly on multiple cores. It is initially intended for deployment in the financial industry to model real-time risk.
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The interactive mathematical programming system GYWOPT is released as free software. It has been developed since early 2000 for experiments with the Integral Basis Method for integer programming by U.-U. Haus, M. Köppe and R. Weismantel.
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Dantzig-Wolfe Solver
An implementation of Dantzig-Wolfe decomposition built upon GLPK
An implementation of Dantzig-Wolfe decomposition built upon the GNU Linear Programming Kit. This is a command line tool for solving properly decomposed linear programs. There are several examples and some documentation to guide the use of this solver. Forked over to GitHub (see link). -
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The goal of the Fortran-to-Java project is to provide Java Application Programming Interfaces (APIs) to numerical libraries originally written in Fortran (particularly BLAS and LAPACK). The result of this work, JLAPACK, is distributed here.
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NKA
Nonlinear Krylov acceleration of fixed-point and Newton-like methods
Nonlinear Krylov Acceleration (NKA) is a method for accelerating the convergence of fixed-point (Picard) iterations. Many Newton-like and inexact Newton methods are fixed point iterations. The NKA project provides the canonical implementation of the method for several programming languages. The black-box accelerator is simple to integrate into existing code. Placed in the iteration loop, it observes the sequence of solution updates and replaces them with improved updates using information... -
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libfgen
Library for optimization using a genetic algorithm or particle swarms
libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported. -
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itermd
Software tools for applications of simulations by iterations.
For simulations or modeling studies of regulations, Automation or various phenomena, with parameters that may be random, interdependent variables without simple rules, etc.. It can also be used to study mathematical curves remarkable how 'pragmatic'. The claim of these tools is to facilitate the programming of simulations by providing routines to quickly generate: -display windows and input parameters -help to display the variation in the data as graphs -management of iterations Goal for the user: quickly programme his simulation. Requires knowledge of C language. Knowledge of gtk and cairo (for simple graphs) is not necessary. ... -
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EGNLA
Heterogeneous cluster for acceleration of linear algebra computations
This project deals with a new concept of the heterogeneous grid for acceleration of the numerical linear algebra computing. We design this grid with respect to maximal ratio between cost and computational power. It allows a parallelization of scientific codes with minimal programming effort. We also optimize grid concept to be less sensitive to network parameters. -
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This utility, lingen, implements evolution of native machine code via linear genetic programming. The assembly level code uses a subset of assembly language which manipulates and performs calculations using the floating point unit (FPU) of the CPU.
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Kiel University Relation package
Fast C library for relation algebra using binary decision diagrams.
Kure is a C library which provides manipulation of relations and operations of relation algebra using a fast implementation using binary decision diagram. It provides a Lua based domain-specific embedded programming language to conveniently manipulate and work with relations. For instance, given relations R, S, the tupling of them can be computed using [R,S] and they can be composed using R*S. -
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aal
The Advanced Algebraic Language.
The Advanced Algebraic Language (AAL) is a very dynamic programming language designed to fill the void that has appeared between mainstream languages and algebra. As a result its main focus is ease of use for math problems. To download AAL check out the source code repository. There are versions available for windows and linux with both 32 and 64 bit native binaries: http://svn.code.sf.net/p/aal-lang/code/trunk/bin/ -
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The SNOMP Library
SNOMP (SNOMP is Not OpenMP) is a library for semi-shared memory parall
SNOMP (SNOMP is Not OpenMP) is a library for semi-shared memory parallelization. -
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Software to solve Linear Programming problems applying the Revised Simplex Algorithm (2-Phase Method) and performing a Sensitivity Analysis too.
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A strong, yet minimalistic Math-oriented Programming Language (MML) providing an easy-to-use console and a command-line script interpreter, targetted towards fast calculations for extremely big numbers, and bundled with a number of math libraries.
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Yet another library of convex optimization routines; this one works with the GNU scientific library. Focuses on interior point methods for linear programming, second order cone programing and semidefinite programming
