Algorithm Design

The good thing about Algorithm Design & Analysis as a topic is that there is no lack of great resources to learn from! And even better, a large portion of them are freely available online (in forms of lecture notes, or entire books, video lectures, programming challenges with online judging, etc). In addition to what others have mentioned, here are some example resources you might prefer for a beginner-intermediate level intro: 1. (free online) Algorithms by Dasgupta, Papadimitriou, and Vazirani http://algorithmics.lsi.upc.edu/docs/Dasgupta-Papadimitriou-... (http://algorithmics.lsi.upc.edu/docs/Dasgupta-Papadimitriou-Vazirani.pdf) 2. (free online) Algorithms by Jeff Erickson https://jeffe.cs.illinois.edu/teaching/algorithms/ 3. Algorithm design by Kleinberg & Tardos https://www.amazon.com/Algorithm-Design-Jon-Kleinberg/dp/032... (https://www.amazon.com/Algorithm-Design-Jon-Kleinberg/dp/0321295358)…

Yes there’s lots of algorithm books! Too many to learn them all. I had an anxiety attack and bought most of the introductory algo books mentioned in CLRS chapter 1. I liked ALGS4 by Sedgewick as my introduction to Algorithms. I still refer to the Coursera course. I actually started with CLRS and doubled back to ALGS4. I wish I did it in reverse order but it was still useful reading CLRS and refreshing my math skills. I would say grab a few and see which ones you like. CLRS, ALGS4, Algorithm Design Manual, and Algorithm Design by Kleinberg and Tardos are a good start. You can look in the bibliography of each books for more suggestions from the experts themselves.

Algorithm Design by Kleinberg and Tardos. It is a wonderful book especially because of the well-designed problem sets. Most of them come with answers too.

I'd recommend "Algorithm Design" by Jon Kleinberg, Eva Tardos (http://tinyurl.com/232nfh). Covers most of the topics found on the Cormen book but in a much easier to digest language. The exercises and examples are also much more updated.