From e675806a04c272a271d5642b389c82645eecf475 Mon Sep 17 00:00:00 2001 From: PRANAVK <94790325+PRANAVK1003@users.noreply.github.com> Date: Sat, 3 Aug 2024 14:58:05 +0530 Subject: [PATCH] Add resources for complexity (#6350) * Update 100-time-vs-space.md Added some Youtube Tutorials for the Big-O Notation * Update src/data/roadmaps/datastructures-and-algorithms/content/104-algorithmic-complexity/100-time-vs-space.md --------- Co-authored-by: Kamran Ahmed --- .../content/104-algorithmic-complexity/100-time-vs-space.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/data/roadmaps/datastructures-and-algorithms/content/104-algorithmic-complexity/100-time-vs-space.md b/src/data/roadmaps/datastructures-and-algorithms/content/104-algorithmic-complexity/100-time-vs-space.md index b1eb69970..934557e10 100644 --- a/src/data/roadmaps/datastructures-and-algorithms/content/104-algorithmic-complexity/100-time-vs-space.md +++ b/src/data/roadmaps/datastructures-and-algorithms/content/104-algorithmic-complexity/100-time-vs-space.md @@ -5,3 +5,6 @@ In the context of algorithmic complexity, "time" refers to the amount of computa Learn more from the following resources: - [@article@Cheat Sheet](https://www.bigocheatsheet.com/) +- [@video@Big O Notation — Calculating Time Complexity](https://www.youtube.com/watch?v=Z0bH0cMY0E8) +- [@video@Free Code Camp Big-O Tutorial](https://youtu.be/Mo4vesaut8g?si=1jyb-EkfCLf9PNND) +