Time Complexity Analysis  (English, Paperback, Aditya Chatterjee)

This book “Time Complexity Analysis” introduces you to the basics of Time Complexity notations, meaning of the Complexity values and How to analyze various Algorithmic problems. This book includes Time and Space Complexity cheat sheets at the end as a bonus resource. We have tackled several significant problems and demonstrated the approach to analyze them and arrived at the Time and Space Complexity of the problems and Algorithms. This is a MUST-READ book for all Computer Science students and Programmers. Do not miss this opportunity. You will get a better idea to judge which approach will work better and will be able to make better judgements in your development work. Some of the key points you will understand: · Random Access Memory does not take O(1) time. It is complicated and in general, has a Time Complexity of O(√N). · Multiplication takes O(N^2) time, but the most optimal Algorithm (developed in 2019) takes O(N logN) time which is believed to be the theoretical limit. · As per Time Complexity, finding the largest element and the ith largest element takes the same order of time. Book: Time Complexity Analysis Authors: Aditya Chatterjee; Ue Kiao, PhD. Contributors (7): Vansh Pratap Singh, Shreya Shah, Vikram Shishupalsingh Bais, Mallika Dey, Siddhant Rao, Shweta Bhardwaj, K. Sai Drishya. There is no other book that cover these topics. Many students have several misconceptions which are resolved with the book. Read this book and level up.