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90448880
The Algorithm Design Manual (Texts in Computer Science) Paperback – 7 Oct. 2021
90% of respondents would recommend this to a friend
Nº de artículo:
90448880
NIO 4209
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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.
Detalles de producto
| 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?
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Students of CS
Ideal for computer science students seeking to understand algorithms and their real-world applications effectively.
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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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The Algorithm Design Manual (Texts in Computer Science) Paperback – 7 Oct. 2021
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características y beneficios
- 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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