+Big O Notation is a mathematical notation that describes the limiting behavior of a function, particularly useful for characterizing the performance or complexity of algorithms. It provides an upper bound on the [Growth Rate](/wiki/growth_rate) of an algorithm's running time or space requirements as the input size grows, abstracting away constant factors. This powerful tool is fundamental for [Algorithm Analysis](/wiki/algorithm_analysis), enabling comparison of efficiency across different computational approaches.
+## See also
+- [Time Complexity](/wiki/time_complexity)
+- [Space Complexity](/wiki/space_complexity)
+- [Algorithm](/wiki/algorithm)
... 1 more lines