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...

can be applied under differentiability and convexity. Constraint optimization can be solved by branch-and-bound algorithms. These are backtracking algorithms...

unknowns are restricted to integer values. Branch and cut involves running a branch and bound algorithm and using cutting planes to tighten the linear...

of polyhedral combinatorics. The related branch and cut method combines the cutting plane and branch and bound methods. In any subproblem, it runs the...

compatibility branch and bound (JCBB) is an algorithm in computer vision and robotics commonly used for data association in simultaneous localization and mapping...

and little theoretical benefit. Another method involves the use of branch and bound techniques, where the program is divided into subclasses to be solved...

Dantzig, Fulkerson, and Johnson used branch-and-bound algorithms perhaps for the first time. In 1959, Jillian Beardwood, J.H. Halton, and John Hammersley...

the branch and bound method. For example, the branch and cut method that combines both branch and bound and cutting plane methods. Branch and bound algorithms...

variables. The method is a hybrid of branch and bound and column generation methods. Branch and price is a branch and bound method in which at each node of...

and Václav Chvátal. Branch and bound (BB or B&B) is an algorithm design paradigm for discrete and combinatorial optimization problems. A branch-and-bound...