Definition:Algorithm/Analysis/Complexity

From ProofWiki
Jump to navigation Jump to search

Definition

An algorithm may be analysed in the context of its complexity.

This is typically via measures of run-times using big-$\OO$, or big-$\Omega$, or $\Theta$ notation.


Complexity can be through 3 main types of analysis:

  1. Average-Case Analysis, using a distribution of cases to find an average case of the algorithm run-time for analysis
  2. Best-Case Analysis, using the best possible problem instance of the algorithm for analysis
  3. Worst-Case Analysis,using the worst possible problem instance of the algorithm for analysis


Sources