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.

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 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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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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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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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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Additional Algorithms Reading

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

Grokking Algorithms

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. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example in…

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Purely Functional Data Structures

Most books on data structures assume an imperative language such as C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own funct…

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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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A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills

Data structures and algorithms are much more than abstract concepts. Mastering them enables you to write more efficient code that runs faster, which is particularly important for today’s web and mobile apps. If you last saw an algorithm in a university course or at a job interview, you’re missing out on the raw power algorithms can provide.

Recommended by the experts and mentors at MentorCruise

Introduction to Algorithms

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 …

Recommended by the experts and mentors at MentorCruise

Competitive Programming

algorithm competitions/olympiads where participants should solve specific puzzles in efficient way using some programming language

Recommended by the experts and mentors at MentorCruise

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I designed and built most of HubSpot's observability platform, and have handled realtime (sub-15s latency) streams of millions of datapoints per minute, and terabytes per day. I've improved Amazon's open source balancing algorithm for Kinesis to support downtime-free rebalancing over thousands of concurrent shards. I wrote the first endorsed Java …

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As a senior software engineer with over 15 years of experience and a PhD in Computer Science, I have a wealth of knowledge to share with aspiring professionals. Throughout my career, I have worked for some of the biggest names in the industry, including Microsoft, Yelp, Hubspot, startups, gaming and …

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