Item #:
179851375
Algorithms
90% of respondents would recommend this to a friend
Item #:
179851375
CHF 142
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Algorithms 1st Edition is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject.
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What Stands Out
Comprehensive Coverage
Offers an in-depth exploration of algorithms, making complex concepts accessible for students and professionals alike, ensuring a solid foundational understanding.
Interactive Learning
Includes interactive elements and exercises, enhancing engagement and retention of material, which sets it apart from traditional textbooks.
Portable Access
Available in Kindle format, allowing readers to access the material anytime and anywhere, catering to modern learning habits.
Product Details
| Publisher | McGraw-Hill Education |
| Publication date | September 13, 2006 |
| Edition | 1st |
| Language | English |
| Print length | 336 pages |
| ISBN-10 | 9780073523408 |
| ISBN-13 | 978-0073523408 |
| Item Weight | 1.09 pounds (490 grams) |
| Dimensions | 7.3 x 0.5 x 9.2 inches (18.5 x 1.3 x 23.4 cm) |
Who Should Buy?
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Computer Science Students
Provides foundational knowledge in algorithms, essential for computer science coursework and exams.
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Software Developers
Enhances problem-solving skills critical for developing efficient code and applications in real-world scenarios.
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Tech Enthusiasts
Ideal for self-learners interested in understanding the principles behind algorithm design and analysis.
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Beginners in Coding
May be too advanced for those just starting to learn programming without prior background knowledge.
Product Description
Algorithms
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Probability & Statistics Editorial Review
**** The "Algorithms 1st Edition" textbook is well-received by students and professionals alike, particularly for its clarity and conciseness. Reviewers appreciate the book's easy-to-understand style, which makes even the complex subject of algorithms accessible. Many users have noted that the text facilitates a solid grasp of algorithmic concepts, encouraging active engagement through the included problems. These readers acknowledge that the book demands significant effort on their part; comprehension sometimes requires re-reading sections or seeking additional resources. Despite some criticism regarding the lack of detailed explanations for certain complex algorithms and the absence of an official solutions manual for the exercises, the book is seen as a valuable resource, especially for undergraduate courses. Students found the illustrations and diagrams particularly helpful for understanding concepts. However, the book does have its drawbacks. Some users pointed out inConsistencies in the rigor with which different topics are covered. For instance, dynamic programming is treated comprehensively, while other areas like graphs may not receive the depth many expect. The textbook's format, while generally pleasant, has been critiqued for the quality of its physical pages. Overall, "Algorithms 1st Edition" serves as a practical companion for those new to the field or for those looking to solidify their understanding of algorithms. Its concise nature, engaging writing, and targeted content make it a recommended choice, especially in an academic context. **
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Pros
- Affordable price for a textbook.
- Concise with short chapters, facilitating easy comprehension.
- Eloquent writing style, making complex topics approachable.
- Rigorous and creative problems at the end of each chapter.
- Good coverage of topics like dynamic programming and flow networks.
Cons
- Absence of official problem solutions, making self-study challenging.
Product Price History
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CHF 142
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Features & Benefits
- The fundamentals of algorithms explained in an enjoyable and easy-to-digest story line.
- Emphasis on understanding the crisp mathematical idea behind each algorithm.
- Carefully chosen advanced topics that can be covered in an advanced algorithms course.
- An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms.
- An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic.
- Solutions Manual available on the Online Learning Center.
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