Looking for the best Algorithms books? Browse our list to find excellent book recommendations on the subject.
1. Algorithms (2006)
This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically…
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 includes helpful diagrams and fully annotated code samples in Python.Learning about algorithms doesn’t have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you’ll find in Grokking Algorithms on Manning Publications’…
3. Algorithms (2019)
Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old as mathematics itself. This textbook is a wide-ranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and the problem-solving process. The book includes important classical examples, hundreds of battle-tested exercises, far too many historical digressions, and exaclty four typos. Jeff Erickson is a computer science professor at the University of Illinois, Urbana-Champaign;…
4. The Algorithm Design Manual (2010)
Expanding on the highly successful formula of the first edition, this book now serves as the primary textbook of choice for any algorithm design course while maintaining its status as the premier practical reference guide to algorithms….
I am not a recruiter. I am a software engineer. And as such, I know what it’s like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I’ve been through this as a candidate and as an interviewer. Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I’ve coached and interviewed hundreds of software engineers. The result is this book. Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop…
This internationally acclaimed textbook provides a comprehensive introduction to the modern study of computer algorithms. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively selfcontained and presents an algorithm, a design technique, an application area, or a related topic. The algorithms are described and designed in a manner 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. The has been revised and updated…
Accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Includes hints or solutions to all quizzes and problems, and a series of YouTube videos by the author accompanies the book. Part 3 covers greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, shortest paths, optimal search trees)….
What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they’ve found have much to teach us.In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers also untangle very human…
9. Data Structures and Algorithms in Java (2014)
The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser’s approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a…
THIS TEXTBOOK is about computer science. It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the…
This is an accessible resource on data structures, with sample implementations and great explanations: CPSC 223: Data Structures and Programming Techniques. The course was taught by Professor James Aspnes, the Director of Undergraduate Studies Books shelved as algorithms: Introduction to Algorithms by Thomas H. Cormen, The Algorithm Design Manual by Steven S. Skiena, Algorithms by Robert Sedgew 10 Algorithm Books – Must Read for Developers Another gold tip to those who think that Algorithms are Data Structures are for those who want to work in Amazon, Google, Facebook, Intel or Microsoft, remember it is the only skill which is timeless, of course apart from UNIX, SQL, and C. The textbook Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne surveys the most important algorithms and data structures in use today. The broad perspective taken makes it an appropriate introduction to the field.
We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Genesis and download some algorithms books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.
Fringe Pattern Analysis for Optical Metrology: Theory, Algorithms, and Applications
Author(s): Manuel Servin, J. Antonio Quiroga, Moises Padilla
Publisher: John Wiley & Sons, Inc, Year: July 2014, Size: 6 Mb, Download: pdf
Hands-On Data Structures and Algorithms with Rust
Author(s): Claus Matzinger
Publisher: Packt Publishing Ltd., Year: January 2019, Size: 3 Mb, Download: epub
Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles
Author(s): Francesco Fanelli
Publisher: Springer International Publishing, Year: 2020, Size: 5 Mb, Download: pdf
New Advancements in Swarm Algorithms: Operators and Applications
Author(s): Erik Cuevas, Fernando Fausto, Adrián González
Publisher: Springer International Publishing, Year: 2020, Size: 27 Mb, Download: pdf
Optimization of Complex Systems: Theory, Models, Algorithms and Applications
Author(s): Hoai An Le Thi, Hoai Minh Le, Tao Pham Dinh
Publisher: Springer International Publishing, Year: 2020, Size: 58 Mb, Download: pdf
Interleaving Concepts for Digital-to-Analog Converters: Algorithms, Models, Simulations and Experiments
Author(s): Christian Schmidt
Publisher: Springer Fachmedien Wiesbaden; Springer Vieweg, Year: 2020, Size: 5 Mb, Download: pdf
Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2018
Author(s): Mohammad Shorif Uddin, Jagdish Chand Bansal
Publisher: Springer Singapore, Year: 2020, Size: 32 Mb, Download: pdf
Evolutionary Algorithms and Neural Networks. Theory and Applications
Author(s): Seyedali Mirjalili
Publisher: Springer, Year: 2019, Size: 7 Mb, Download: pdf
Software Engineering and Algorithms in Intelligent Systems
Author(s): Radek Silhavy
Publisher: Springer International Publishing, Year: 2019, Size: 57 Mb, Download: pdf
Artificial Intelligence and Algorithms in Intelligent Systems
Author(s): Radek Silhavy
Publisher: Springer International Publishing, Year: 2019, Size: 44 Mb, Download: pdf
Please note that this booklist is not errorless. Some books are truly best-sellers according to The Wall Street Journal, others are written by unknown authors. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant links you could recommend? Drop a comment if you have any feedback on the list.