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The Algorithm Design Manual (Texts in Computer Science)
Steven Skiena’s Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems.
The Algorithm Design Manual (Texts in Computer Science)
Item #: 90448880

The Algorithm Design Manual (Texts in Computer Science)

Item #: 90448880

HKD 886

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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

Shop The Algorithm Design Manual (Texts in Computer Science) online at a best price in Hong Kong. 3030542580
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?

Suitable For
  • 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.

  • Educators

    Great resource for teachers creating curriculum around algorithm design and seeking structured examples for teaching.

Not Suitable For
  • Beginners

    Not suitable for complete beginners who lack foundational knowledge in programming or algorithms.

Product Description

The Algorithm Design Manual (Texts in Computer Science)

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Algorithms Editorial Review

** The Algorithm Design Manual** "The Algorithm Design Manual" is a well-regarded resource within the field of computer science, particularly for those who have some foundational knowledge in algorithms and data structures. However, it is crucial to note that this book is not tailored for absolute beginners. Its complexity demands a certain level of familiarity with previous studies or experience, making it ideal for recent graduates or individuals preparing for interviews in software development roles. Readers appreciate the book’s ability to demystify algorithms, presenting them in an engaging manner that appeals to self-proclaimed "nerds." The content is comprehensive and thought-provoking, offering a blend of theoretical insights and practical applications. However, the color usage throughout the text is limited, which some readers find adds to its charm, while others might prefer more vibrant illustrations. The price point, notably over £50, has been a focal point of criticism, as many feel it is a bit steep for a paperback edition. Potential buyers are encouraged to seek out discounted options, like those from Amazon's warehouse, to mitigate cost concerns. Additionally, feedback indicates variability in print quality, with some copies showing signs of inferior printing processes that detract from the overall reader experience. In summary, "The Algorithm Design Manual" is a well-loved text amongst enthusiasts and professionals already familiar with computer science fundamentals, although its high price and inConsistent print quality have raised concerns among some users. **

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Pros

  • Engaging and comprehensive content for those with a background in algorithms.
  • Effective in simplifying complex topics for better understanding.
  • Appeals to individuals preparing for technical software development interviews.

Cons

  • Not suitable for beginners without prior knowledge of algorithms and data structures.

Product Price History

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