Introduction To Algorithms
86% of respondents would recommend this to a friend
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Written by top researchers, this text blends theory and practice. It covers the modern topics of parallel algorithms, concurrency and recurrency.
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What Stands Out
Product Details
| Publisher | Mcgraw-Hill College |
| Publication date | January 1, 1990 |
| Edition | First Edition |
| Language | English |
| Print length | 768 pages |
| ISBN-10 | 0070131430 |
| ISBN-13 | 978-0070131439 |
| Item Weight | 5.25 pounds (2.38 kg) |
| Dimensions | 2 x 8.25 x 10.25 inches (5.1 x 21 x 26 cm) |
| Part of series | MIT Electrical Engineering and Computer Science |
Who Should Buy?
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Computer Science Students
Ideal for students studying computer science, offering comprehensive algorithm explanations and structured methodologies for problem-solving.
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Professional Developers
Great for experienced developers seeking to deepen their understanding of algorithms and improve their software development skills.
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Academic Researchers
Useful for researchers in computer science needing a solid foundation in algorithms for theoretical and practical applications.
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Beginner Programmers
May overwhelm beginners with complex topics, lacking the gradual learning curve needed for absolute novices in programming.
Product Description
Introduction To Algorithms
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Editorial Review
The book in question has received a very positive reception from customers. Many users have praised it as a useful reference text, specifically highlighting the inclusion of pseudo code for studying purposes. It has been recommended for software engineers, with one user even mentioning that they own all three editions. The book's coverage of Sorting Networks and Arithmetic Circuits has been particularly appreciated, with readers finding the parallel chapter comparing changes over 20+ years to be insightful. Despite one user noting a rip in the hardcover, the interior content was found to be clean. Overall, the Consensus among customers is that this book is valuable and well worth the investment for those in the software engineering field. **
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Pros
- Useful reference text with pseudo code for study
- Comprehensive coverage of Sorting Networks and Arithmetic Circuits
- Insightful comparison of changes over time in the field
Cons
- Quality issue with the hardcover, prone to tearing
Product Price History
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Features & Benefits
- Written by top researchers
- Blends theory and practice
- Covers modern topics of parallel algorithms, concurrency, and recurrency
- Flexible organization with self-contained chapters
- Gently introduces mathematical techniques
- Includes simple exercises and more thoughtful case-generated problems
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