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Introduction to Algorithms, 3rd Edition
BOB 902
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Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers.
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What Stands Out
Detalles de producto
- Latest edition with substantial new material on vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow
- Combines rigor and comprehensiveness in covering a broad range of algorithms
- Chapters are self-contained for flexible use
- Algorithms are presented in readable English and pseudocode
- Widely used as a text in universities and a standard reference for professionals
- Revised third edition with new chapters, additions, and improved treatment
| Publisher | MIT Press |
| Publication date | September 1, 2009 |
| Edition | 3rd |
| Language | English |
| Print length | 1292 pages |
| ISBN-10 | 9780262033848 |
| ISBN-13 | 978-0262033848 |
| Reading age | 18 years and up |
| Dimensions | 9.08 x 8.18 x 2.06 inches (23.1 x 20.8 x 5.2 cm) |
| Grade level | 12 and up |
| Package Weight | 6.1 Pound |
Who Should Buy?
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Computer Science Students
Ideal for undergraduate and graduate students pursuing computer science, offering comprehensive algorithm knowledge and problem-solving skills.
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Software Engineers
Beneficial for software developers seeking to deepen their understanding of algorithms for improved coding efficiency and performance.
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Self-learners
Perfect for independent learners interested in algorithms, providing in-depth explanations and a variety of exercises for practice.
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Casual Readers
Not suitable for casual readers looking for light material; it is dense and academic, requiring focused study.
DESCRIPCIÓN DEL PRODUCTO
About This Item
Immerse yourself in the world of algorithms with the Introduction to Algorithms Hardcover book. This comprehensive guide, published on 1st January 2009, is the perfect companion for computer science enthusiasts and students looking to delve deeper into algorithm design, data structures, and complexity theory. Written by a team of renowned experts in the field, this hardcover book is a must-have for those seeking a thorough understanding of algorithms. With its clear and concise explanations, it is suitable for both beginners and advanced readers. Inside this book, you will find detailed discussions on various topics such as algorithm analysis, algorithm implementation, sorting algorithms, graph algorithms, dynamic programming, greedy algorithms, divide and conquer algorithms, and backtracking algorithms.
Whether you're looking to sharpen your problem-solving skills or enhance your knowledge in algorithm textbooks, this book has got you covered. The Introduction to Algorithms Hardcover also serves as an excellent resource for algorithm courses and tutorials. Its comprehensive coverage of essential algorithms makes it a valuable reference for students and professionals alike. This hardcover edition offers durability and convenience, allowing you to easily navigate through its pages and revisit key concepts whenever needed. Its timeless content and timeless design make it a classic addition to your book collection. Don't miss out on the opportunity to enhance your understanding of algorithms.
Order your copy of the Introduction to Algorithms Hardcover now and embark on a journey of discovery and mastery in computer science.
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Data Structures Editorial Review
Introduction to Algorithms, 3rd Edition is a comprehensive textbook that bridges the crucial gap between mathematics and computer science. It meticulously presents the structure and design of algorithms, focusing on their mathematical underpinnings. While a solid understanding of mathematics is essential, this book shines for those coming from a math background. Reviewers appreciate how it demystifies complex topics and fosters a deep understanding of algorithm fundamentals, although it may feel daunting for those seeking practical programming skills. It's recommended for math majors or prospective computer science graduate students aiming to grasp algorithm analysis without delving into coding details.
Customer Reviews & Ratings
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5 estrella
79%
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4 estrella
11%
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3 estrella
5%
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2 estrella
1%
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1 estrella
4%
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ventajas
- Thorough explanation of algorithm fundamentals
- Excellent for mathematics-oriented readers
- Well-organized and easy to read
- Helps demystify complex topics
- Offers a clear connection between math and cs
Contras
- May not be ideal for beginners in programming
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características y beneficios
- Comprehensive coverage of algorithms
- Accessible to all readers
- Relatively self-contained chapters
- Readable pseudocode
- New chapters added
- Improved treatment of dynamic programming and greedy algorithms
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