Branch and bound is an algorithm design paradigm used for solving integer programming problems, particularly useful in optimization where solutions must meet specific integer constraints. This method systematically explores branches of a solution space and eliminates those that cannot yield better results than the current best, thus bounding the search. It connects various optimization strategies and helps in efficiently navigating complex problems that can’t be solved by straightforward methods.
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