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- From Mathematics to Generic Programming
From Mathematics to Generic Programming
87% of respondents would recommend this to a friend
USD 38
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What Stands Out
Rincian Produk
| Publisher | Addison-Wesley Professional |
| Publication date | November 7, 2014 |
| Edition | 1st |
| Language | English |
| Print length | 320 pages |
| ISBN-10 | 0321942043 |
| ISBN-13 | 978-0321942043 |
| Item Weight | 15 ounces (425.25 grams) |
| Dimensions | 7 x 0.7 x 9 inches (17.8 x 1.8 x 22.9 cm) |
Who Should Buy?
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Mathematics Students
Ideal for students seeking to deepen their understanding of programming through mathematical concepts and generic solutions.
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Software Developers
Beneficial for developers looking to enhance their coding practices by incorporating mathematical foundations into generic programming.
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Computer Scientists
Great for computer science professionals interested in the intersection of math and programming techniques in generic contexts.
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Beginner Programmers
Not ideal for those just starting, as it requires a strong grasp of programming and mathematical foundations.
DESKRIPSI PRODUK
From Mathematics to Generic Programming
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Object-Oriented Design Editorial Review
From Mathematics to Generic Programming 1st Edition is a well-written book that explores the intersection of mathematics and programming. It presents classic math concepts in a traditional manner, with statements and proofs, and includes sidebars with biographies of mathematicians. The book delves into C++ code, but some discussions may seem forced and the use of C++ trivia may be excessive. Overall, this book is recommended for math enthusiasts and those interested in delving into C++ code.
Customer Reviews & Ratings
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Pro
- Straightforward and easy to read
- Includes classic math concepts
- Sidebars provide a respite from proofs
- Applies math concepts to programming
Kontra
- Forced and unnatural moments
Product Price History
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USD 38
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Fitur & Manfaat
- Learn how to generalize algorithms
- Gain deep insight into the value of mathematics to programming
- Discover powerful mathematical approaches to abstraction
- Use mathematical techniques to organize knowledge about your algorithms and data structures
- Learn from surprising subtleties of simple programming tasks
- Exploit theoretical knowledge in practical implementations
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