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The Algorithm Design Manual (Texts in Computer Science)
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MKD 4393
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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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- 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 | October 7, 2021 |
| Edition | Third Edition 2020 |
| Language | English |
| Print length | 810 pages |
| ISBN-10 | 3030542580 |
| ISBN-13 | 978-3030542580 |
| Item Weight | 7.6 ounces (215.46 grams) |
| Dimensions | 7.01 x 1.61 x 9.26 inches (17.8 x 4.1 x 23.5 cm) |
| Part of series | Texts in Computer Science |
Who Should Buy?
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Computer Science Students
Ideal for undergraduate and graduate students seeking a comprehensive understanding of algorithm design principles and practices.
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Software Developers
Great for professionals looking to enhance their problem-solving skills and deepen their knowledge of efficient algorithms.
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Data Scientists
Helpful for data professionals needing to understand algorithms applicable to machine learning and data processing tasks.
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Beginner Programmers
Not suitable for beginners who lack foundational programming skills and knowledge of basic algorithm concepts.
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Structured Design Editorial Review
In a recent review, "The Algorithm Design Manual" by Steven S. Skiena was described as a comprehensive and engaging resource for anyone interested in computer science and algorithm design. The book was praised for its thorough coverage of essential tools for designing and analyzing algorithms, as well as its catalog of algorithmic resources covering various algorithms and data structures, all expertly organized to tackle specific problems. The writing style was deemed engaging and easy to follow, and the inclusion of real-world examples was appreciated for making the material relatable. However, some readers expressed disappointment with the paper quality, feeling that it did not match the book's high-quality content. **
Customer Reviews & Ratings
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5 ѕвездичка
75%
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4 ѕвездичка
11%
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3 ѕвездичка
7%
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2 ѕвездичка
4%
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1 ѕвездичка
3%
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Добрите
- Comprehensive coverage of algorithm design and analysis
- Engaging and easy-to-follow writing style
- Inclusion of real-world examples
Конс
- Disappointment with paper quality
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MKD 4393
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Карактеристики и придобивки
- 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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