enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. Integer programming - Wikipedia

   en.wikipedia.org/wiki/Integer_programming

   These algorithms can also be used for mixed integer linear programs (MILP) - programs in which some variables are integer and some variables are real. [23] The original algorithm of Lenstra [ 14 ] : Sec.5 has run-time 2 O ( n 3 ) ⋅ p o l y ( d , L ) {\displaystyle 2^{O(n^{3})}\cdot poly(d,L)} , where n is the number of integer variables, d is ...

3. Cutting-plane method - Wikipedia

   en.wikipedia.org/wiki/Cutting-plane_method

   Cutting planes were proposed by Ralph Gomory in the 1950s as a method for solving integer programming and mixed-integer programming problems. However, most experts, including Gomory himself, considered them to be impractical due to numerical instability, as well as ineffective because many rounds of cuts were needed to make progress towards the solution.

4. 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]

5. Linear programming relaxation - Wikipedia

   en.wikipedia.org/wiki/Linear_programming_relaxation

   This relaxation technique transforms an NP-hard optimization problem (integer programming) into a related problem that is solvable in polynomial time (linear programming); the solution to the relaxed linear program can be used to gain information about the solution to the original integer program.

6. Branch and cut - Wikipedia

   en.wikipedia.org/wiki/Branch_and_cut

   Branch and cut [1] is a method of combinatorial optimization for solving integer linear programs (ILPs), that is, linear programming (LP) problems where some or all the unknowns are restricted to integer values. [2] Branch and cut involves running a branch and bound algorithm and using cutting planes to tighten the linear programming relaxations.

7. MOSEK - Wikipedia

   en.wikipedia.org/wiki/MOSEK

   MOSEK is a software package for the solution of linear, mixed-integer linear, quadratic, mixed-integer quadratic, quadratically constrained, conic and convex nonlinear mathematical optimization problems. The applicability of the solver varies widely and is commonly used for solving problems in areas such as engineering, finance and computer ...