Search Results for "mixed integer solver"
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Showing 8 open source projects for "mixed integer solver"
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QScript
Expression and algorithm evaluator (built with Java)
V2.1.1 compatible with Processing 2 & 3. A powerful yet simple to use scripting language that can be used to evaluate expressions and simple algorithms. In fact it is the only evaluator I know that supports complex numbers and vectors without the need for additional configuration. The emphasis is on simplicity and extensibility and the website provides detailed guides to help you get the most of QScript. It supports variables, selection (IF-THEN-ELSE) and repetition (WHILE-WEND and... -
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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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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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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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ocaml-glpk
OCaml bindings for GLPK
OCaml bindings for the GLPK (GNU Linear Programming Kit) library for solving linear programming and mixed integer programming problems. -
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Generic toolbox of Particle Swarm Optimization developed in Scilab (PSOTS). It is developed for a variety of complex problems, including single and multi-objective optimization problems, continuous and discrete problems, and mixed integer problems.
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natural sort / order of arrays, sorts integer, string and mixed arrays - also strings with numbers included will be ordered naturaly, natsort and natcasesort for javascript
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