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What is Parallel Algorithms in Optimization about?

This document discusses parallel algorithms for combinatorial optimization problems. It covers topics such as branch and bound, backtracking, divide and conquer, greedy methods, and short paths algorithms. Branch and bound is described as a general algorithm for finding optimal solutions that systematically enumerates candidates and discards subsets that are provably suboptimal. Backtracking is presented as a systematic way to search a problem space by incrementally building candidates and abandoning partia

Author

abrahnm

Language

EN