Top Algorithms books curated by experts

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 re…

The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms.

Do you feel left out when other programmers talk about asymptotic bounds?
Have you failed a job interview because you don't know computer science?
Volume one covers the most frequently referenced topics, including:
- Algorithms and data structures
- Graphs
- Problem-solving techni…

Coding interviews are tough, and they're only getting tougher, typically demanding months of preparation. What we all want is a way to master algorithms and data structures without having to spend countless hours sifting through endless, unfocussed resources. Introducing "Coding Interview Patter…

In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over—and shows why the “bot revolution” is about to spill into every aspect of our lives, often silently, without our knowledge.

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor.

Algorithm: An algorithm is defined as a step-by-step process that will be designed for a problem. Input: After designing an algorithm, the algorithm is given the necessary and desired inputs. Processing unit: The input will be passed to the processing unit, producing the desired output.

Algorithms Illuminated, Part 1 provides an introduction to and basic literacy in the following four topics. Asymptotic analysis and big-O notation. Asymptotic notation provides the basic vocabulary for discussing the design and analysis of algorithms.

The book begins with a summary of the nontechnical aspects of interviewing, such as strategies for a great interview, common mistakes, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. We also provide a summary of data str…

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 re…

Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance.

This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know.