Why branch and bound only used for minimisation technique?
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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. 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.
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Explanation:
Branch and Bound techniques are used when there is a failure of dynamic programming.
Explanation:
If it is used properly, it can present algorithms that are generally fast regularly.
It is a systematic way of solving optimized problems.
It is rather slow frequently leading it to exponential time complexities.
It is solved when several binary knapsack issues for determining the bounds.
It is one of the important techniques while going through an issue like this.
Learn more about Uses of branch and bound technique for solving assignment problem.
Why branch and bound only used for minimisation technique?
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