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Showing posts with the label Basic Conceptual

Backtracking Algorithm

Backtracking  is a general  algorithm  for finding all (or some) solutions to some  computational problem , that incrementally builds candidates to the solutions, and abandons each partial candidate  c  ("backtracks") as soon as it determines that  c  cannot possibly be completed to a valid solution. Backtracking can be applied only for problems which admit the concept of a "partial candidate solution" and a relatively quick test of whether it can possibly be completed to a valid solution. It is useless, for example, for locating a given value in an unordered table. When it is applicable, however, backtracking is often much faster than  brute force enumeration  of all complete candidates , since it can eliminate a large number of candidates with a single test. Backtracking is an important tool for solving  constraint satisfaction problems , such as  crosswords ,  verbal arithmetic , Sudoku , and many other pu...