Recurrence Relation Cheat Sheet

randerson112358

May 14, 2018·3 min read

Easily Solve Common Recurrences

Have you found it hard to solve the time complexity of recurrence relations ? I will show you how to solve some of the most common recurrence relations fast and easily without using any techniques other than memorization.

Below are the common recurrences.

Note: a, b, d and k are all constant values.

T(n) = T(n-1)+b, T(1) = a
T(n) = O(n)
T(n) = T(n-1) + bn, T(1) = a
T(n) = O(n²)
T(n) = T(n/2) + b, T(1) = a
T(n) = O( log n)
T(n) = T(n/2) + bn, T(1) = a
T(n) = O(n)
T(n) = kT(n/k) + b, T(1) = a
T(n) = O(n)
T(n) = kT(n/k) + bn, T(1) = a
T(n) = O(n log n)
T(n) = T(n-1) + T(n-2) + d, T(1) = a, T(2) = b
T(n) = O(2^n)
T(n) = T(n-1) + b n^k, T(1) = a
T(n) = O(n^(k+1))

If you would like to learn more about Algorithm Analysis , you can take my online course here. I also have a course on Udemy.com called Recurrence Relation Made Easy where I help students to understand how to solve recurrence relations and asymptotic terms such as Big-O, Big Omega, and Theta. You can check out my YouTube channel of videos where I solve recurrence relations and perform algorithm analysis on code that anyone can check out for free !

Introduction to Algorithm Analysis [For Complete Beginners]

Understand and solve algorithms using Big O, Big Omega, and Theta time complexity.

www.udemy.com

Recurrence Relation Made Easy | Udemy

A guide to solving any recursion program, or recurrence relation.

www.udemy.com

Thanks for reading this article I hope its helpful to you all ! Keep up the learning, and if you would like more computer science, programming and algorithm analysis videos please visit and subscribe to my YouTube channels (randerson112358 & compsci112358 )