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  2. List of optimization software - Wikipedia

    en.wikipedia.org/wiki/List_of_optimization_software

    FICO Xpress – solver for linear and quadratic programming with continuous or integer variables (MIP). FortMP – linear and quadratic programming. FortSP – stochastic programming. GAMS – General Algebraic Modeling System. Gurobi Optimizer – solver for linear and quadratic programming with continuous or integer variables (MIP).

  3. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    HiGHS has implementations of the primal and dual revised simplex method for solving LP problems, based on techniques described by Hall and McKinnon (2005), [6] and Huangfu and Hall (2015, 2018). [ 7 ] [ 8 ] These include the exploitation of hyper-sparsity when solving linear systems in the simplex implementations and, for the dual simplex ...

  4. Linear programming - Wikipedia

    en.wikipedia.org/wiki/Linear_programming

    The linear programming problem was first shown to be solvable in polynomial time by Leonid Khachiyan in 1979, [9] but a larger theoretical and practical breakthrough in the field came in 1984 when Narendra Karmarkar introduced a new interior-point method for solving linear-programming problems.

  5. MOSEK - Wikipedia

    en.wikipedia.org/wiki/MOSEK

    The applicability of the solver varies widely and is commonly used for solving problems in areas such as engineering, finance and computer science. The emphasis in MOSEK is on solving large-scale sparse problems, in particular the interior-point optimizer for linear, conic quadratic (a.k.a. Second-order cone programming) and semi-definite (aka.

  6. OR-Tools - Wikipedia

    en.wikipedia.org/wiki/OR-Tools

    OR-Tools was created by Laurent Perron in 2011. [5]In 2014, Google's open source linear programming solver, GLOP, was released as part of OR-Tools. [1]The CP-SAT solver [6] bundled with OR-Tools has been consistently winning gold medals in the MiniZinc Challenge, [7] an international constraint programming competition.

  7. COIN-OR - Wikipedia

    en.wikipedia.org/wiki/COIN-OR

    It is designed to be as reliable as any commercial solver, although several times slower, [3] and to be able to tackle very large problems. CLP is designed to solve linear programming problems such as : minimize + subject to problem constraints of the following form

  8. lp_solve - Wikipedia

    en.wikipedia.org/wiki/Lp_solve

    lp_solve is a free software command line utility and library for solving linear programming and mixed integer programming problems. It ships with support for two file formats, MPS and lp_solve's own LP format. [ 1 ]

  9. Interior-point method - Wikipedia

    en.wikipedia.org/wiki/Interior-point_method

    An interior point method was discovered by Soviet mathematician I. I. Dikin in 1967. [1] The method was reinvented in the U.S. in the mid-1980s. In 1984, Narendra Karmarkar developed a method for linear programming called Karmarkar's algorithm, [2] which runs in provably polynomial time (() operations on L-bit numbers, where n is the number of variables and constants), and is also very ...