Search Results for "mixed integer solver"
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Showing 10 open source projects for "mixed integer solver"
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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. -
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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... -
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Optimization.jl
Mathematical Optimization in Julia
...It enables rapid prototyping and experimentation with minimal syntax overhead by providing a uniform interface to >25 optimization libraries, hence 100+ optimization solvers encompassing almost all classes of optimization algorithms such as global, mixed-integer, non-convex, second-order local, constrained, etc. It allows you to choose an Automatic Differentiation (AD) backend by simply passing an argument to indicate the package to use and automatically generates the efficient derivatives of the objective and constraints while giving you the flexibility to switch between different AD engines as per your problem. ... -
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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. ... -
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Data Envelopment Analysis using Stata
Develop a user written Data Envelopment Analysis package in 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. * Book "A Handbook of Data Envelopment Analysis using Stata" published in Amazon : https://www.amazon.com/-/ko/dp/B0FH6N3168/ref=tmm_hrd_swatch_0 -
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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 -
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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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ICE (Interval Calculator for Engineer)
Interval Calculator for Engineer
ICE is a simple mathematical calculator with very useful shortcuts for Engineer: works natively with tolerance, can run Monte Carlo analysis, uses engineer notation, includes most of the day by day functions used by engineers. -
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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. -
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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
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