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14682703
Introduction to Algorithms, Second Edition
Item #:
14682703
AMD 19557
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What Stands Out
Comprehensive Coverage
This edition delivers thorough coverage of algorithm design and analysis techniques, making it suitable for both students and professionals seeking an in-depth understanding of algorithms.
Clear Explanations
Renowned for its clear, accessible writing style, this textbook effectively demystifies complex concepts, ensuring readers grasp essential algorithms and data structures.
Updated Examples
Incorporating recent advancements and practical examples, this edition ensures relevance in current computational challenges, enhancing the learning experience for both new and seasoned programmers.
Product Details
- The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition, this text can also be used for self-study by technical professionals since it discusses engineering issues in algorithm design as well as the mathematical aspects. In its new edition, Introduction to Algorithms continues to provide a comprehensive introduction to the modern study of algorithms. The revision has been updated to reflect changes in the years since the book's original publication. New chapters on the role of algorithms in computing and on probabilistic analysis and randomized algorithms have been included. Sections throughout the book have been rewritten for increased clarity, and material has been added wherever a fuller explanation has seemed useful or new information warrants expanded coverage. As in the classic first edition, this new edition of Introduction to Algorithms presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers. Further, the algorithms are presented in pseudocode to make the book easily accessible to students from all programming language backgrounds. Each chapter presents an algorithm, a design technique, an application area, or a related topic. The chapters are not dependent on one another, so the instructor can organize his or her use of the book in the way that best suits the course's needs. Additionally, the new edition offers a 25% increase over the first edition in the number of problems, giving the book 155 problems and over 900 exercises that reinforce the concepts the students are learning.
| Publisher | McGraw-Hill Science/Engineering/Math |
| Publication date | July 16, 2001 |
| Edition | 2nd |
| Language | English |
| Print length | 1056 pages |
| ISBN-10 | 0070131511 |
| ISBN-13 | 978-0070131514 |
| Item Weight | 5.15 pounds (2.34 kg) |
| Dimensions | 8.2 x 2.3 x 9.3 inches (20.8 x 5.8 x 23.6 cm) |
Who Should Buy?
-
Computer Science Students
Ideal for undergraduate and graduate students studying computer science, providing foundational knowledge of algorithms and data structures.
-
Software Engineers
Beneficial for software developers seeking to enhance their understanding of algorithms for efficient coding and problem solving.
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Academics and Researchers
Perfect for researchers needing a comprehensive reference on algorithms for theoretical and applied computer science studies.
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Casual Readers
Not suitable for casual readers as it requires a background in mathematics and computer science for comprehension.
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Algorithms Editorial Review
Introduction to Algorithms, Second Edition offers a comprehensive overview of computer algorithms, covering a diverse range of topics suitable for both students and professional software engineers. Written by prominent authors, this book doubles as an excellent reference for advanced study, benefitting those who seek a deep understanding of algorithms. Many readers appreciate the non-recursive explanations, particularly in complex areas like red-black trees, which enhance practicality without sacrificing performance. However, some may find the pseudo-code formatting confusing, impacting the understanding of algorithmic scope. Despite a few presentation quirks, the content is lauded for its intellectual depth, making it a reliable resource for mastering algorithms.
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Pros
- Comprehensive coverage of various algorithms
- Excellent reference for software engineering
- Non-recursive explanations enhance understanding
- Well-structured chapters build on previous knowledge
- Valuable for both students and professionals
Cons
- Formatting of pseudo-code can cause confusion
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