Algorithms, (Paperback)
KWD 58
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Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read.
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- This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal.Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated.Carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence.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. In addition to the text, DasGupta also offers a Solutions Manual, which is available on the Online Learning Center.Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read. Tim Roughgarden Stanford University
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | September, 2006 |
| Pages | 336 |
| Reading level | College/Higher Education |
| Subgenre | Programming |
| Series title | No Series |
| Edition | 1 |
| Publisher | McGraw Hill LLC |
| Original languages | English |
| Language | English |
| Educational level | College |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.38 x 0.53 x 9.16 in (18.7 x 1.3 x 23.3 cm) |
| Assembled product weight | 1.11 lb (500 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Computer Science Students
Ideal for students studying computer science who need a comprehensive understanding of algorithms and their applications.
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Software Developers
Great resource for developers seeking to enhance problem-solving skills and implement efficient algorithms in software projects.
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Self-Learners
Suitable for individuals eager to self-study algorithms, providing clear explanations and examples for independent learning.
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Basic Users
Not suitable for beginners with no prior programming knowledge, as it delves into advanced algorithmic concepts.
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Sanjoy Dasgupta All Books Editorial Review
Algorithms, (Paperback) is a comprehensive non-fiction book published by McGraw Hill LLC in September 2006. Spanning 336 pages, this book is tailored for college-level readers and falls within the Computing & Internet genre, specifically under the Programming subgenre. The book's perfect binding and dimensions of 7.38 x 0.53 x 9.16 inches make it a suitable choice for academic libraries and individual study. Readers find the book helpful for in-depth understanding of algorithmic concepts, with its structured approach allowing for ease of comprehension. This makes it an invaluable resource for students and professionals seeking to enhance their computing skills.
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Pros
- Perfect binding ensures durability during frequent use
- Well-structured for college-level education
- Covers essential programming algorithms comprehensively
- Easy to understand for higher education
- Published by a reputable educational publisher
Cons
- Some readers might find it dense due to technical content.
Product Price History
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Features & Benefits
- Comprehensive foundation in algorithms presented in an engaging narrative.
- Includes historical context and practical applications throughout the text.
- Features advanced topics for deeper exploration in tailored courses.
- Accessible introduction to linear programming as a key achievement in algorithms.
- Optional chapter on quantum algorithms for an exciting glimpse into modern topics.
- Solutions Manual available for enhanced learning and understanding.
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