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Algorithms
By Kevin Wayne; Robert Sedgewick
CHF 73.00
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If you find the same book(s) cheaper (new, in stock, like-for-like including delivery), we’ll match it. Not applicable to international orders. Read the full policy.
If you find the same book(s) cheaper (new, in stock, like-for-like including delivery), we’ll match it. Not applicable to international orders. Read the full policy.
Description
Algorithms by Kevin Wayne and Robert Sedgewick is an insightful exploration into the world of algorithms and data structures, tailored for both students and professionals alike. This comprehensive guide demystifies the fundamental concepts that underpin computer science, making complex topics accessible and engaging.
The Story
Through a clear and concise narrative, Wayne and Sedgewick take readers on a journey from the basics of algorithms to more intricate data structures. The authors employ practical examples and real-world applications, illuminating how algorithms shape the technology that surrounds us daily. Each chapter is designed to build upon the last, ensuring a solid understanding of each concept before progressing further.
Why Readers Love It
- Accessible Language: The authors present challenging concepts in a manner that is easy to grasp, making it suitable for readers with varying levels of expertise.
- Visual Aids: Illustrations and diagrams accompany the text, enhancing comprehension and retention.
- Code Examples: Practical programming examples are provided, allowing readers to see how algorithms function in real-time.
Perfect For
This book is ideal for computer science students, aspiring programmers, and anyone interested in the mechanics of algorithms. It also complements other works by Wayne and Sedgewick, such as Introduction to Programming in Java and Data Structures and Algorithms in Java, making it a valuable addition to any tech enthusiast's library.
"A must-read for anyone eager to understand the foundations of computer science." - Tech Review
Specifications
Format: Hardback
Dimensions: × ×
Pages: 976
Publisher: Pearson
ISBN: 9780321573513
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