Showing 8 open source projects for "mixed integer linear programming"

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  • 1
    Convex.jl

    Convex.jl

    A Julia package for disciplined convex programming

    Convex.jl is a Julia package for Disciplined Convex Programming (DCP). Convex.jl makes it easy to describe optimization problems in a natural, mathematical syntax, and to solve those problems using a variety of different (commercial and open-source) solvers. Convex.jl works by transforming the problem—which possibly has nonsmooth, nonlinear constructions like the nuclear norm, the log determinant, and so forth—into a linear optimization problem subject to conic constraints. This...
    Downloads: 0 This Week
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  • 2
    InferOpt.jl

    InferOpt.jl

    Combinatorial optimization layers for machine learning pipelines

    InferOpt.jl is a toolbox for using combinatorial optimization algorithms within machine learning pipelines. It allows you to create differentiable layers from optimization oracles that do not have meaningful derivatives. Typical examples include mixed integer linear programs or graph algorithms.
    Downloads: 1 This Week
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  • 3
    Data Envelopment Analysis using Stata

    Data Envelopment Analysis using Stata

    Develop a user written Data Envelopment Analysis package in Stata.

    The goal of this project is to develop a Data Envelopment Analysis(DEA) program using Stata programming language. This is the replacement of "deastata" project that we maintained for the purpose of version management. We call the program package "DEAS" which stands for Data Envelopment Analysis using Stata. DEAS covers the basic models of DEA and extensions including CCR, BCC, SBM, Super-efficiency Model, Allocative Model(Profit, Revenue, Cost), (Global) Malmquist Productivity Index Model, Imprecise DEA, FDH, Additive Model, Virtual Price Model, linear programming(lp), mixed integer linear programming(MILP), and more...
    Downloads: 0 This Week
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  • 4
    CalcuFp

    CalcuFp

    Programmable Calculator (IP functions, create user functions)

    ....- IPv4 functions), Apart from being able to have on hand an wide range of functions, allows to use different numbering systems WITHOUT CHANGING MODES. We can sum operations decimal, binary and hexadecimal mixed. Example. - 25 + BIN ('111 ') + HEX (' FF ') -> this is equivalent to adding the integer 25 +7 (binary) +255 (hexadecimal) = 287. Allows use of predefined variables and constants. Creating user functions. It has a programming section through type pascal scripts (still in testing), It has a multimedia viewer to store documentation that we have on hand for our daily tasks. ...
    Downloads: 2 This Week
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  • 5
    Asset Management ProjectBuilder

    Asset Management ProjectBuilder

    Transportation Asset Management Project Builder

    ...PB features ample user interface that includes GIS-component. PB is developed in .NET/C# and T-SQL. It embeds third-party components and libraries, such as COIN-OR Symphony and Sylvan Excel that support mixed integer linear programming and export-import via Excel. All 3-rd party components are in the public domain. PB is licensed under the GNU Affero General Public License (AGPL) which can be found in the Docs folder of the reposito
    Downloads: 0 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: 1 This Week
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  • 7
    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.
    Downloads: 0 This Week
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  • 8
    Linear Program Solver

    Linear Program Solver

    Solve linear programming problems

    Linear Program Solver (LiPS) is an optimization package oriented on solving linear, integer and goal programming problems. The main features of LiPS are: ● LiPS is based on the efficient implementation of the modified simplex method that solves large scale problems. ● LiPS provides not just an answer, but a detailed solution process as a sequence of simplex tables, so you can use it for studying/teaching linear programming
    Downloads: 65 This Week
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