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Top Algorithms Books

The AI Optify data team writes about topics that we think software engineers will love. AI Optify has affiliate partnerships so we may get a share of the revenue from your purchase.

Top Algorithms Books - For this post, we have scraped various signals (e.g. online ratings and reviews, topics covered, author influence in the field, year of publication, social media mentions, etc.) from web for algorithms and data structure books. We have fed all above signals to a Machine Learning algorithm to compute a score and rank the top books.

The readers will love our list because it is Data-Driven & Objective. Enjoy the list:

1. Introduction to Algorithms, 3rd Edition (MIT Press)

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

2. Algorithm Design 1st (first) Edition by Kleinberg, Jon, Tardos, ¨¦va published by Addison-Wesley (2005)

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.