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Bisection, binary search. A search procedure that works in a manner similar to search trees, by repeated halving the 
interval of interest in a sorted sequence. The halving is performed by inspecting the middle element and deciding 
whether the sought value must lie to the left or right. Running time Q(lg n). A very efficient implementation can be 
found in the bisect module. (See Chapter 6.)
Branch and bound. A general algorithmic design approach. Searches a space of solutions in a depth-first or  best-
first order by building and evaluating partial solutions. A conservative estimate is kept for the optimal value, while an 
optimistic estimate is computed for a partial solution. If the optimistic estimate is worse than the conservative one, 
the partial solution is not extended, and the algorithm backtracks. Often used to solve NP-hard problems. (See Listing 
11-2 for a branch-and-bound solution to the 0-1 knapsack problem.)

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