exponential-time algorithm

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 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)