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80039255
Introduction to Algorithms, fourth edition
89% of respondents would recommend this to a friend
Item #:
80039255
BWP 3539
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What Stands Out
Comprehensive Coverage
Offers an in-depth exploration of algorithms, covering essential topics with clarity, making it ideal for both beginners and advanced learners in computer science.
Updated Edition
The latest edition includes contemporary examples and algorithmic techniques, ensuring relevance to current technological advancements and practices.
Authoritative Authors
Authored by esteemed experts Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein, providing authoritative insights and proven strategies in algorithm design.
Product Details
- Title: Introduction to Algorithms, fourth edition 4th Edition
- Comprehensive guide to the principles of algorithms
- Covers a wide range of algorithms and their applications
- Includes exercises and problems to reinforce understanding
- Updated fourth edition with new content and insights
- Ideal for students and professionals in computer science and engineering
| Publisher | MIT Press |
| Publication date | 5 April 2022 |
| Edition | 4th |
| Language | English |
| Print length | 1332 pages |
| ISBN-10 | 026204630X |
| ISBN-13 | 978-0262046305 |
| Item weight | 2.64 kg |
| Dimensions | 21.3 x 5.7 x 23.6 cm |
Who Should Buy?
-
Computer Science Students
This book serves as a comprehensive guide to algorithms, ideal for undergraduates studying computer science topics.
-
Software Engineers
Software developers will benefit from the in-depth coverage of algorithms, enhancing their problem-solving skills in coding.
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Data Analysts
Data analysts can leverage the book’s insights on algorithms to optimize data processing and analysis techniques.
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Casual Readers
Individuals seeking light reading or casual knowledge may find the technical content too dense and challenging.
Product Description
Introduction to Algorithms, fourth edition
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Algorithms Editorial Review
Introduction to Algorithms, fourth edition offers a comprehensive exploration of algorithms and is considered essential for aspiring software engineers. Many users find the text approachable and systematic, making it suitable for both self-study and as a reference book. Despite its depth, the layout is clear, and visual aids enhance understanding. The book comprises 1332 pages, which are rich in content, but a few readers have noted minor issues like paper quality and blur in text color. On a positive note, the appendices provide support for those grappling with mathematical proofs, which can ease the learning curve. Overall, it's highly recommended for anyone serious about learning algorithms.
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Pros
- Clear layout and coherent information
- Excellent visual aids for understanding
- Rich content for deep learning
- Supportive appendices for math concepts
- Highly recommended for self-studying
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Features & Benefits
- Comprehensive update of the leading algorithms text
- Covers a broad range of algorithms in depth
- New chapters on matchings in bipartite graphs, online algorithms, and machine learning
- 140 new exercises and 22 new problems
- Clearer, more personal, and gender-neutral writing style
- Website with new supplementary material
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