Exponential-time Algorithm in Technology

complexity

An algorithm (or Turing Machine) that is guaranteed to terminate within a number of steps which is a exponential function of the size of the problem. For example, if you have to check every number of n digits to find a solution, the complexity is O(10^n), and if you add an extra digit, you must check ten times as many as numbers.

Even if such an algorithm is practical for some given value of n, it is likely to become impractical for larger values. This is in contrast to a polynomial-time algorithm which grows more slowly.

See also computational complexity, polynomial-time, NP-complete.(1995-04-27)

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The concept was found in ZOJ problem 1037.