Big-O complexities of common algorithms used in .NET and Computer Science.
HTML
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
.gitignore Initial commit Oct 13, 2015
Cheat Sheet.html Update Cheat Sheet.html Oct 13, 2015
Cheat Sheet.pdf Initial Commit Oct 13, 2015
Cheat Sheet.png Initial Commit Oct 13, 2015
LICENSE Initial commit Oct 13, 2015
README.md Update README.md Oct 15, 2015
big-o-complexity.png Initial Commit Oct 13, 2015

README.md

.NET Big-O Algorithm Complexity Cheat Sheet

Shows Big-O time and space complexities of common algorithms used in .NET and Computer Science. You can see which collection type or sorting algorithm to use at a glance to write the most efficient code. This is also useful for those studying Computer Science in University or for technical interview tests where Big-O notation questions can be fairly common depending on the type of company you are apply to.

View The Cheat Sheet

HTML

PDF

PNG

Credits

All credit goes to the creator of the Big-O Algorithm Complexity Cheat Sheet Eric Rowell and the many contributors to it. You can find the original here. I simply added .NET specific bits to it.