17-recursive_backtracking

For each possible first letter for each possible

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for (each possible first letter): for (each possible second letter): for (each possible third letter): ... print! This is called a depth-first search

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4 Decision trees M A R T Y available chosen A R T Y M R T Y M A T Y M A R Y M A R T M A R T Y A T Y M R A R Y M T A R T M Y M R T Y A R Y M A T R T M A Y T M A R Y M A R Y T T M A Y R M A Y R T R M A Y T M A Y T R R T M Y A ... ... ... ... ... ...
5 Backtracking backtracking : A general algorithm for finding solution(s) to a computational problem by trying partial solutions and then abandoning them ("backtracking") if they are not suitable. a "brute force" algorithmic technique (tries all paths; not clever) often (but not always) implemented recursively Applications: producing all permutations of a set of values parsing languages games: anagrams, crosswords, word jumbles, 8 queens combinatorics and logic programming

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6 Backtracking algorithms A general pseudo-code algorithm for backtracking problems: explore( choices ): if there are no more choices to make: stop. – else: • Make a single choice C from the set of choices. – Remove C from the set of choices . • explore the remaining choices . • Un-make choice C . – Backtrack!
7 Backtracking strategies • When solving a backtracking problem, ask these questions: What are the "choices" in this problem? • What is the "base case"? (How do I know when I'm out of choices?) How do I "make" a choice? • Do I need to create additional variables to remember my choices? • Do I need to modify the values of existing variables? How do I explore the rest of the choices? • Do I need to remove the made choice from the list of choices? Once I'm done exploring the rest, what should I do?

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