enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Simplex algorithm - Wikipedia

    en.wikipedia.org/wiki/Simplex_algorithm

    The simplex method is remarkably efficient in practice and was a great improvement over earlier methods such as Fourier–Motzkin elimination. However, in 1972, Klee and Minty [32] gave an example, the Klee–Minty cube, showing that the worst-case complexity of simplex method as formulated by Dantzig is exponential time. Since then, for almost ...

  3. MINOS (optimization software) - Wikipedia

    en.wikipedia.org/wiki/MINOS_(optimization_software)

    For linear programs, a two-phase primal simplex method is used. The first phase minimizes the sum of infeasibilities. For problems with linear constraints and a nonlinear objective, a reduced-gradient method is used. A quasi-Newton approximation to the reduced Hessian is maintained to obtain search directions. The method is most efficient when ...

  4. Revised simplex method - Wikipedia

    en.wikipedia.org/wiki/Revised_simplex_method

    The revised simplex method is mathematically equivalent to the standard simplex method but differs in implementation. Instead of maintaining a tableau which explicitly represents the constraints adjusted to a set of basic variables, it maintains a representation of a basis of the matrix representing the constraints.

  5. Big M method - Wikipedia

    en.wikipedia.org/wiki/Big_M_method

    Simplex – Big M Method, Lynn Killen, Dublin City University. The Big M Method, businessmanagementcourses.org; The Big M Method, Mark Hutchinson; The Big-M Method with the Numerical Infinite M, a recently introduced parameterless variant; A THREE-PHASE SIMPLEX METHOD FOR INFEASIBLE AND UNBOUNDED LINEAR PROGRAMMING PROBLEMS, Big M method for M=1

  6. GNU Linear Programming Kit - Wikipedia

    en.wikipedia.org/wiki/GNU_Linear_Programming_Kit

    Version 1.1.1 contained a library for a revised primal and dual simplex algorithm. Version 2.0 introduced an implementation of the primal-dual interior point method. Version 2.2 added branch and bound solving of mixed integer problems. Version 2.4 added a first implementation of the GLPK/L modeling language.

  7. CPLEX - Wikipedia

    en.wikipedia.org/wiki/CPLEX

    The IBM ILOG CPLEX Optimizer solves integer programming problems, very large [3] linear programming problems using either primal or dual variants of the simplex method or the barrier interior point method, convex and non-convex quadratic programming problems, and convex quadratically constrained problems (solved via second-order cone programming, or SOCP).

  8. Two-phase - Wikipedia

    en.wikipedia.org/wiki/Two-phase

    Upload file; Search. ... Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide. Two-phase may refer to: Two-phase ...

  9. Multi-objective linear programming - Wikipedia

    en.wikipedia.org/wiki/Multi-objective_linear...

    Multiobjective variants of the simplex algorithm are used to compute decision set based solutions [1] [2] [9] and objective set based solutions. [10] Objective set based solutions can be obtained by Benson's algorithm. [3] [8]