Branch and Hang - significado y definición. Qué es Branch and Hang
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Qué (quién) es Branch and Hang - definición

ALGORITHM FOR OPTIMIZATION PROBLEMS
Branch and Bound; Least discrepancy search; Branch-and-bound algorithm; Branch and bound algorithm; Branch-and-bound; Branch-and-bound technique
  • the two lines.

Branch and Hang      
<humour> (BRH) Originally a mythical instruction for the {IBM 1130} at Indiana University. Later some real examples were discovered. The {Texas Instruments} TI-980 allowed all addressing modes with all instructions, including Store Immediate Extended (stores the value into the extension word of the instruction) and Branch and Link Immediate (makes a subroutine call to the same instruction -- Branch and Hang). Compare HCF. (1997-02-12)
Branch and bound         
Branch and bound (BB, B&B, or BnB) is an algorithm design paradigm for discrete and combinatorial optimization problems, as well as mathematical optimization. A branch-and-bound algorithm consists of a systematic enumeration of candidate solutions by means of state space search: the set of candidate solutions is thought of as forming a rooted tree with the full set at the root.
Branch, Missouri         
UNINCORPORATED COMMUNITY IN CAMDEN COUNTY, MISSOURI, UNITED STATES
Branch, MO
Branch is an unincorporated community in southwestern Camden County, Missouri, United States. It is located on Route 73 one mile south of U.

Wikipedia

Branch and bound

Branch and bound (BB, B&B, or BnB) is a method for solving optimization problems by breaking them down into smaller sub-problems and using a bounding function to eliminate sub-problems that cannot contain the optimal solution. It is an algorithm design paradigm for discrete and combinatorial optimization problems, as well as mathematical optimization. A branch-and-bound algorithm consists of a systematic enumeration of candidate solutions by means of state space search: the set of candidate solutions is thought of as forming a rooted tree with the full set at the root. The algorithm explores branches of this tree, which represent subsets of the solution set. Before enumerating the candidate solutions of a branch, the branch is checked against upper and lower estimated bounds on the optimal solution, and is discarded if it cannot produce a better solution than the best one found so far by the algorithm.

The algorithm depends on efficient estimation of the lower and upper bounds of regions/branches of the search space. If no bounds are available, the algorithm degenerates to an exhaustive search.

The method was first proposed by Ailsa Land and Alison Doig whilst carrying out research at the London School of Economics sponsored by British Petroleum in 1960 for discrete programming, and has become the most commonly used tool for solving NP-hard optimization problems. The name "branch and bound" first occurred in the work of Little et al. on the traveling salesman problem.