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Introduction to Algorithms (MIT Electrical Engineering and Computer Science)
88% of respondents would recommend this to a friend
AZN 111
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The first edition won the award for Best 1990 Professional and Scholarly Book in Computer Science and Data Processing.
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Информация о продукте
| Publisher | The MIT Press |
| Publication date | January 1, 1990 |
| Edition | 2nd Edition |
| Language | English |
| Print length | 1048 pages |
| ISBN-10 | 0262031418 |
| ISBN-13 | 978-0262031417 |
| Item Weight | 5.25 pounds (2.38 kg) |
| Dimensions | 8.15 x 1.97 x 10.24 inches (20.7 x 5 x 26 cm) |
| Part of series | MIT Electrical Engineering and Computer Science |
Who Should Buy?
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Computer Science Students
Ideal for university students seeking a comprehensive understanding of algorithms and data structures for academic success.
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Software Engineers
Beneficial for professionals looking to deepen their algorithm knowledge for software development and problem-solving skills.
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Educators and Instructors
Useful for teachers wanting to deliver advanced lectures on algorithms and provide in-depth material for their students.
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Casual Learners
Not suitable for individuals looking for quick, light-reading material or a basic introduction to algorithms.
ОПИСАНИЕ ТОВАРА
Introduction to Algorithms (MIT Electrical Engineering and Computer Science)
About This Item
Are you interested in diving into the world of algorithms and expanding your knowledge in computer science or electrical engineering? Look no further than the Introduction to Algorithms MIT Electrical Engineering and Computer Science Second Printing Edition. Written by renowned authors and professors, this textbook is a must-have for any student or professional in these fields. It covers a wide range of important topics, including algorithm design and analysis, data structures, algorithm complexity analysis, and algorithm implementation. Whether you are a beginner or already have some knowledge in algorithms, this book caters to all levels of expertise. The clear and concise explanations make complex concepts easy to understand, and the numerous algorithm examples and tutorials provide practical applications. By studying the MIT algorithms course, you will gain a solid foundation in computer science and electrical engineering algorithms.
This comprehensive resource will not only enhance your problem-solving skills but also help you develop algorithmic thinking. The second printing edition of Introduction to Algorithms comes with updated content and additional exercises to further reinforce your understanding. It is a valuable reference that you can turn to again and again as you continue your academic or professional journey. Don't miss out on this opportunity to strengthen your algorithm knowledge. Get your hands on the Introduction to Algorithms MIT Electrical Engineering and Computer Science Second Printing Edition today.
Whether you are a student, educator, or professional in the field, this book will be an invaluable addition to your library.
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Computer Science Editorial Review
Introduction to Algorithms (MIT Electrical Engineering and Computer Science) is a seminal text published by The MIT Press, renowned for its in-depth coverage of data structures and algorithms, making it indispensable for Computer Science students. With a print length of 1048 pages, this second edition features valuable content enhancements, like an updated 'assembly line example' in the dynamic programming chapter. Users have praised the book for its thoroughness, with multiple editions highlighting its importance as a reference for software engineers. Despite being a used book, many find it to be in nearly new condition, affirming its value and relevance in the field.
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Плюсы
- Essential for Computer Science students
- High-quality reference for software engineers
- In-depth exploration of algorithms
- Updated content in the second edition
- Ample pseudo codes for study
Минусы
- Hardcover may show signs of wear
Product Price History
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AZN 111
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Особенности и преимущества
- Award-winning first edition recognized in 1990.
- Highly esteemed in the fields of computer science and data processing.
- Credible and authoritative source for learning algorithms.
- Ideal for both professionals and students.
- Limited availability of the first edition.
- Consider upgrading to the Second Edition for the latest content.
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