Showing 17 open source projects for "glpk windows 4.35"

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    OR-Tools - Google Optimization Tools

    OR-Tools - Google Optimization Tools

    Google's software suite for combinatorial optimization

    Google Optimization Tools, also known as OR-Tools is an open-source, fast and portable software suite for solving combinatorial optimization problems. These encompass problems in vehicle routing, flows, integer and linear programming, and constraint programming. This suite contains a number of solvers, namely: a constraint programming solver; a linear programming solver; wrappers for commercial solvers (like Gurobi or CPLEX) and other open source solvers (SCIP, GLPK, etc.); among others...
    Downloads: 2 This Week
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  • 2
    GLPK for Java

    GLPK for Java

    Java language binding for the GNU Linear Programming Kit (GLPK)

    GLPK for Java provides a Java language binding for the library GLPK. GLPK is a proven solver for linear and mixed integer mathematical programming problems. For Windows binaries see project GLPK for Windows (http://sourceforge.net/projects/winglpk/).
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    Downloads: 45 This Week
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  • 3
    GLPK for Windows

    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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    Downloads: 482 This Week
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  • 4
    Gusek
    GUSEK provide an open source LP/MILP IDE for Win32, packing a custom version of the SciTE editor linked to the GLPK standalone solver.
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    Downloads: 245 This Week
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  • 5
    GLPK for C#/CLI

    GLPK for C#/CLI

    Common language interface binding for the GLPK library.

    GLPK for C#/CLI allows you to use the Gnu Linear Programming Kit with all .NET/Mono languages (C#, F#, Python, J#, Scala, Visual Basic, ...). Makefiles for Windows and Linux are provided. Windows binaries are provided by project GLPK for Windows, http://winglpk.sourceforge.net/.
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    Downloads: 37 This Week
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  • 6
    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).
    Downloads: 0 This Week
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  • 7

    PyMathProg

    An easy and flexible mathematical programming environment for Python.

    PyMathProg is a Python reincarnation of AMPL and GNU MathProg modeling language, implemented in pure Python, connecting to GLPK via swiglpk. Create, optimize, report, change and re-optimize your model with Python, easily integrate database, plotting, etc.
    Downloads: 1 This Week
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  • 8
    BitSend
    ... daily. This doesn't make a coin better or secure. Only 240 blocks will generate per day.Your advantage is a fast client synchronization and less harddisk space. Why 4,35 Mio Coins in year? Bitsend has a slow Distribution. We generate per Year ~4.35 Mio BSD.In 4 years also 17,4 Mio BSD. Example: Litecoin generate today (after first blockhalving) in 4 years 21 Mio LTC. The advantage is the
    Downloads: 0 This Week
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  • 9
    miniBachelor

    miniBachelor

    Mini Version meiner Bachelorarbeit

    Diese Mini-Code-Version meiner Bachelorarbeit dient mit ca. 370 Code-Zeilen als Beispiel des Farmer-Worker-Modells. Der C++ Code zeigt die Nutzung von Apache Thrift (zur Verteilung) und glpk (zum Lösen). Der Code besteht im Kern aus folgenden Dateien: - MiniBachelor.thrift: ca. 20 Zeilen IDL beschreibt den Teil, der für Farmer und Worker wichtig ist - Farmer.cpp, Worker.cpp: ca. 200 bzw. 120 Zeilen enthalten die Implementierung. - farmer.conf: praktisch, um nicht alle...
    Downloads: 0 This Week
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  • 10
    Bat2015

    Bat2015

    Bachelor of Science (Informatik)

    The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores...
    Downloads: 0 This Week
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  • 11
    DomainMath IDE

    DomainMath IDE

    An open source gui frontend application for GNU Octave

    DomainMath IDE is an open source GUI front-end application for GNU Octave
    Downloads: 0 This Week
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  • 12

    ProteinLP

    A linear programming model for protein inference problem

    In this paper, we present a linear programming model (ProteinLP) for protein inference, which is built on two simple probability equations. ProteinLP is implemented in Java and can run on any Java Virtual Machine (JVM) regardless of computer architecture. Since ProteinLP introduces linear programming to solve protein inference problem, the software uses a standard LP software package, Glpk for Java (v4.47).
    Downloads: 0 This Week
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  • 13
    GLPKMEX - a Matlab MEX interface for the GLPK library Note: GLPKMEX is not currently compatible with glpk-4.49, or later. please use with glpk 4.40 - 4.48.
    Downloads: 11 This Week
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  • 14
    IAJAAR_H provides an object oriented front end to GLPK. It is designed to facilitate working with GLPK in languages other than C.
    Downloads: 0 This Week
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  • 15
    Solves Gattai5 , Sudoku, Hidatori, Numbrix, and Set Square puzzles using glpk
    Downloads: 0 This Week
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  • 16
    Java ILP is a simple java interface to (mixed) integer linear programming solvers such as lp_solve, Glpk, Gurobi, SAT4J (0-1 ILP), MiniSat+(0-1 ILP), CPLEX, or Mosek. (documentation at http://javailp.sourceforge.net/)
    Downloads: 4 This Week
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  • 17
    PuLP: An LP modeller in Python PuLP is an LP modeller written in python. PuLP can generate MPS or LP files and call GLPK, COIN CLP/CBC, CPLEX and XPRESS to solve linear problems.
    Downloads: 0 This Week
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