Branch and bound is a mathematical optimization technique used to solve integer programming problems. It systematically explores branches of a decision tree, evaluating possible solutions while pruning those that cannot yield better results than the best-known solution. This method efficiently narrows down the feasible region of solutions, making it particularly useful for complex problems where traditional methods may fail to find optimal outcomes.
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