The Algorithm Design Manual, 3rd Edition


The Algorithm Design Manual, 3rd Edition
By 作者: Steven S. Skiena
Publisher Finelybook 出版社: Springer
Edition 版本: 3rd, Third, 3e Year: 2020
ISBN: 9783030542559
Pages 页数: 810
Language 语言: English
Format: PDF
Size: 10 Mb
The Book Description robot was collected from Amazon and arranged by Finelybook
“My absolute favorite for this kind of interview preparation is Steven Skiena’s The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace … graph problems are — they should be part of every working programmer’s toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. … every 1 – pager has a simple picture, making it easy to remember. This is a great way to learn how to identify hundreds of problem types.” (Steve Yegge, Get that Job at Google)
“Steven Skiena’s Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. … Every programmer should read this book, and anyone working in the field should keep it close to hand. … This is the best investment … a programmer or aspiring programmer can make.” (Harold ThimbleBy 作者:, Times Higher Education)
“It is wonderful to open to a random spot and discover an interesting algorithm. This is the only textbook I felt compelled to bring with me out of my student days…. The color really adds a lot of energy to the new edition of the book!” (Cory Bart, University of Delaware)
“The is the most approachable book on algorithms I have.” (Megan Squire, Elon University)
This newly expanded and updated third edition of the best-selling classic continues to take the “mystery” out of designing algorithms, and analyzing their efficiency. It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students.
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. The second part, the Hitchhiker’s Guide to Algorithms, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography.
NEW to the third edition:

New and expanded coverage of randomized algorithms, hashing, divide and conquer, approximation algorithms, and quantum computing
Provides full online support for lecturers, including an improved website component with lecture slides and videos
Full color illustrations and code instantly clarify difficult concepts
Includes several new “war stories” relating experiences from real-world applications
Over 100 new problems, including programming-challenge problems from LeetCode and Hackerrank.
Provides up-to-date links leading to the best implementations available in C, C++, and Java
Additional Learning Tools:

Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them
Exercises include “job interview problems” from major software companies
Highlighted “take home lessons” emphasize essential concepts
The “no theorem-proof” style provides a uniquely accessible and intuitive approach to a challenging subject
Many algorithms are presented with actual code (written in C)
Provides comprehensive references to both survey articles and the primary literature
Written By 作者:a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this substantially enhanced third edition of The Algorithm Design Manual is an essential learning tool for students and professionals needed a solid grounding in algorithms. Professor Skiena is also the author of the popular Springer texts, The Data Science Design Manual and Programming Challenges: The Programming Contest Training Manual.

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