Top Algorithms books recommended by experts

At MentorCruise, we are all about making the most out of the experience of others. As part of that, we've connected and asked dozens of experts and professionals about their favourite Algorithms books – and here are the answers.

Table of Contents

Fundamentals of Algorithms

Understanding the concepts of Algorithms starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

Elements of Programming Interviews

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 structures, algorithms, and problem solving patterns.

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Algorithms Unlocked

In Algorithms Unlocked, Thomas Cormen—coauthor of the leading college textbook on the subject—provides a general explanation, with limited mathematics, of how algorithms enable computers to solve problems. Readers will learn what computer algorithms are, how to describe them, and how to evaluate them.

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Algorithms

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.

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Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People

Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer.

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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 …

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Algorithms to Live By: The Computer Science of Human Decisions

An exploration of how computer algorithms can be applied to our everyday lives to solve common decision-making problems and illuminate the workings of the human mind. What should we do, or leave undone, in a day or a lifetime?

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Additional Algorithms Reading

These books are not required for you to learn Algorithms, but they are highly recommended for you to deepen your knowledge.

Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles

Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists. It can be used as a reference manual by those readers in the computer science industry. T…

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Introduction to Algorithms, 3rd Edition

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.

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Automate This: How Algorithms Came to Rule Our World

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.

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The Algorithm Design Manual

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.

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A Programmer's Guide to Computer Science: A virtual degree for the self-taught developer

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 techniques
- Complexity theory
The author, a senior developer at a major software company with a PhD…

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Algorithms Illuminated

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.

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