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90448880
The Algorithm Design Manual (Texts in Computer Science)
90% of respondents would recommend this to a friend
Item #:
90448880
MAD 1042
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Steven Skiena’s Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems.
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What Stands Out
Practical Guidance
Offers practical insights and techniques for algorithm design, making complex concepts accessible to both students and professionals in computer science.
Comprehensive Coverage
Covers a wide range of algorithms and data structures, providing a solid foundation for understanding and applying algorithmic principles effectively.
Real-world Examples
Includes numerous real-world examples and case studies, helping readers relate theoretical knowledge to practical applications in technology and programming.
Product Details
- 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, Times Higher Education)It is wonderful to open to a random spot and discover aninteresting 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 JavaAdditional 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 literatureWritten by 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.
| Publisher | Springer |
| Publication date | 7 Oct. 2021 |
| Edition | Third Edition 2020 |
| Language | English |
| Print length | 810 pages |
| ISBN-10 | 3030542580 |
| ISBN-13 | 978-3030542580 |
| Item weight | 215 g |
| Reading age | 10 years and up |
| Dimensions | 17.81 x 4.09 x 23.52 cm |
| Part of series | Texts in Computer Science |
Who Should Buy?
-
Students of CS
Ideal for computer science students seeking to understand algorithms and their real-world applications effectively.
-
Software Developers
Beneficial for developers needing a practical guide on algorithm design for enhancing their coding efficiency and problem-solving.
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Educators
Great resource for teachers creating curriculum around algorithm design and seeking structured examples for teaching.
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Beginners
Not suitable for complete beginners who lack foundational knowledge in programming or algorithms.
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Algorithms Editorial Review
The Algorithm Design Manual Texts In Computer Science is a comprehensive resource published by Springer on 7 Oct. 2021, with a substantial print length of 810 pages. While it's not aimed at beginners, experienced learners and software developers will find it immensely valuable in demystifying algorithms. Readers appreciate its engaging content despite its limited use of color which adds a unique charm to it. The book serves well for interview preparation, although it requires some prior knowledge of algorithms and data structures for best results. However, some users have noted concerns regarding the print quality and the lack of an interactive table of contents, making it slightly awkward to navigate.
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Pros
- Excellent resource for experienced learners
- Engaging content that demystifies algorithms
- Useful for interview preparation
- Interesting layout despite limited color usage
- Comprehensive coverage of algorithms
Cons
- Print quality could be improved for better clarity
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Features & Benefits
- Best practical algorithm guide for identifying and solving problems
- Covers basic data structures and sorting algorithms
- Includes colorful illustrations and code for easy understanding
- Expanded coverage of randomized algorithms, hashing, and more in the latest edition
- Provides online support for lecturers and additional learning tools
- Contains a unique catalog of 75 algorithmic problems that arise most often in practice
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