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Overlapping subproblems

In computer science, a problem is said to have overlapping subproblems if the problem can be broken down into subproblems which are reused several times or a recursive algorithm for the problem solves the same subproblem over and over rather than always generating new subproblems.

Fibonacci sequence example
In the following two implementations for calculating fibonacci sequence, fibonacci uses regular recursion and fibonacci_mem uses memoization. fibonacci_mem is much more efficient as the value for any particular n is computed only once. When executed, the fibonacci function computes the value of some of the numbers in the sequence many times over, whereas fibonacci_mem reuses the value of n which was computed previously: The difference in performance may appear minimal with an n value of 5; however, as n increases, the computational complexity of the original fibonacci function grows exponentially. In contrast, the fibonacci_mem version exhibits a more linear increase in complexity. ==See also==
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