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  2. Branch and bound - Wikipedia

    en.wikipedia.org/wiki/Branch_and_bound

    The following is the skeleton of a generic branch and bound algorithm for minimizing an arbitrary objective function f. [3] To obtain an actual algorithm from this, one requires a bounding function bound, that computes lower bounds of f on nodes of the search tree, as well as a problem-specific branching rule.

  3. Branch and price - Wikipedia

    en.wikipedia.org/wiki/Branch_and_price

    Branch and price is a branch and bound method in which at each node of the search tree, columns may be added to the linear programming relaxation (LP relaxation). At the start of the algorithm, sets of columns are excluded from the LP relaxation in order to reduce the computational and memory requirements and then columns are added back to the LP relaxation as needed.

  4. Petrick's method - Wikipedia

    en.wikipedia.org/wiki/Petrick's_method

    In Boolean algebra, Petrick's method [1] (also known as Petrick function [2] or branch-and-bound method) is a technique described by Stanley R. Petrick (1931–2006) [3] [4] in 1956 [5] [6] for determining all minimum sum-of-products solutions from a prime implicant chart. [7]

  5. 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

  6. Travelling salesman problem - Wikipedia

    en.wikipedia.org/wiki/Travelling_salesman_problem

    Various branch-and-bound algorithms, which can be used to process TSPs containing thousands of cities. Solution of a TSP with 7 cities using a simple Branch and bound algorithm. Note: The number of permutations is much less than Brute force search. Progressive improvement algorithms, which use techniques reminiscent of linear programming. This ...

  7. 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.

  8. Here's How to Thicken Mashed Potatoes Quickly - AOL

    www.aol.com/heres-thicken-mashed-potatoes...

    Add a Thickener. For a quick fix that'll transform your runny potatoes into a thick and creamy mound, try adding a thickener that you may already have in your pantry like potato starch or cornstarch.

  9. Cutting stock problem - Wikipedia

    en.wikipedia.org/wiki/Cutting_stock_problem

    This limitation is overcome in modern algorithms, which can solve to optimality (in the sense of finding solutions with minimum waste) very large instances of the problem (generally larger than encountered in practice [8] [9]). The cutting-stock problem is often highly degenerate, in that multiple solutions with the same amount of waste are ...