Linear Programming and Optimization |
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Sequential object-oriented simplex class library, free to download for research purposes for members of non-commercial and academic institutions.
A package is intended for solving large-scale linear programming (LP), mixed integer programming (MIP), and other related problems. It is a set of routines written in ANSI C and organized in the form of a callable library. GLPK supports the GNU MathProg language, which is a subset of the AMPL language.
Package for solving large-scale linear, convex quadratic and convex nonlinear programming problems. The code is an implementation of the infeasible primal-dual interior point method, and compares favorably with commercial LP, QP and NLP packages.
Modeling language and system for formulating, solving and analyzing large-scale optimization (mathematical programming) problems.
The General Algebraic Modeling System (GAMS) is a high-level modeling system for mathematical programming problems.
(Logical Mixed Integer Programming) is a solver for generalized disjunctive programs (GDP).
A little language to translate the mathematical model of a problem into a linear or (mixed-) integer mathematical program expressed in .lp or .mps file format which can be read and (hopefully) solved by a LP or MIP solver. Zimpl is a command line program written in plain C and released under GNU GPL.
Mixed INTeger Optimizer - is a software system that solves mixed-integer linear programs by a branch-and-bound algorithm with linear programming relaxations. It also provides automatic constraint classification, preprocessing, primal heuristics and constraint generation.
Mixed-integer linear programming Solver Framework. By default, SYMPHONY reads both the MPS file format (through the COIN-OR MPS reader) and AMPL files (through the GLPK parser). The SYMPHONY source code is available under the Common Public License.
Solving Constraint Integer Programs. SCIP is implemented as C callable library and provides C++ wrapper classes for user plugins.
Science /
Math /
Operations_Research
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