This article showcases our top picks for the Best Books On Computer Algorithms. We reached out to industry leaders and experts who have contributed the suggestions within this article (they have been credited for their contributions below).
We are keen to hear your feedback on all of our content and our comment section is a moderated space to express your thoughts and feelings related (or not) to this article This list is in no particular order.
Data Structures and Algorithms in Java by Robert Lafore
This product was recommended by Georgii Kliukovkin from onTarget
Easy to read and understand + Java is a perfect language to learn data structures.
The Algorithm Design Manual by Steven S. Skiena
This product was recommended by Peter James Manzano from Rize Reviews
This newly expanded and updated second edition of the best-selling classic continues to take the mystery out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students.
Introduction to Algorithms by Thomas Cormen
This product was recommended by Georgii Kliukovkin from onTarget
It is not an easy book at all, but it is easier than Donald Knuth, fundamental book
Algorithms in a Nutshell by George T. Heineman
This product was recommended by Shiv Gupta from Incrementors
This updated edition of Algorithms, in a Nutshell, describes many existing algorithms for solving a collection of issues. The book helps you to create robust software that involves the use of productive algorithms. However, programmers often reflect on them until a problem arises. It helps you choose and implement the right algorithm for your need with just enough math. It allows you to figure out and analyze algorithm operations.