Big O Notation: A Few Examples

This video is about Big O Notation: A Few Examples Time complexity is commonly estimated by counting the number of elementary operations (elementary operation = an operation that takes a fixed amount of time to preform) performed in the algorithm. Time complexity is classified by the nature of the function T(n). O represents the function, and (n) represents the number of elements to be acted on. Worst-case time complexity, the longest it could possibly take with any valid input, is the most common way to express time complexity. When you discuss Big-O notation, that is generally referring to the worst case scenario. For example, if we have to search two lists for common entries, we will calculate as if both entries would be at the very end of each list, just to be safe that we don’t un ... #big_o_notation #big_o_notation_tutorial #big_o_notation_explained #time_complexity #time_complexity_tutorial #time_complexity_explained #big_o_notation_python #big_o_notation_java #big_o_notation_javascript 2015092