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Convex Optimization
88% of respondents would recommend this to a friend
NAD 2483
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What Stands Out
Product Details
- Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
| Publisher | Cambridge University Press |
| Publication date | 25 Mar. 2004 |
| Language | English |
| Print length | 727 pages |
| ISBN-10 | 0521833787 |
| ISBN-13 | 978-0521833783 |
| Item weight | 1.7 kg |
| Dimensions | 24.89 x 3.81 x 19.05 cm |
Who Should Buy?
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Graduate Students
Ideal for graduate students studying optimization, providing foundational knowledge for advanced mathematical and engineering courses.
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Practicing Engineers
Useful for engineers applying optimization techniques in industry, offering practical insights and comprehensive methods for problem-solving.
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Researchers
Beneficial for researchers in operations research and mathematical programming, supplying deep theoretical and practical optimization frameworks.
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Casual Readers
Not suitable for casual readers as it requires prior knowledge in mathematics and may be overly technical.
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Electronics Engineering Editorial Review
**Editorial Review of "Convex Optimization"** "Convex Optimization" has emerged as a standout resource for both students and professionals involved in engineering and mathematical optimization. Unlike many mathematics texts, which can be overwhelming and inaccessible, this book excels in clarity, making the complexities of convex functions and sets approachable. It breaks the mold of dense, obscure descriptions and embraces a teaching philosophy that emphasizes visual explanations and thorough exercises. The book is particularly commendable for its generous treatment of the duality properties within convex optimization, which are often overlooked or poorly explained in other texts. Readers appreciate its capability to provide a solid foundation, allowing them to engage with more advanced materials with confidence. Many have remarked on its utility as a practical tool for researchers, engineers, and anyone whose work intersects with optimization. Despite its depth, the book is an excellent primer and is especially advantageous for undergraduate and graduate students. While it does assume some prior knowledge of multi-variable calculus and similar subjects, this is more a reflection of the field's complexity than a criticism of the book itself. Recommendations abound for "Convex Optimization," highlighting its position as a valuable addition to the libraries of those in engineering and optimization roles, as well as an essential text for academics teaching related courses. It is a universally recognized gem among mathematics enthusiasts and professionals alike. **
Customer Reviews & Ratings
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Pros
- Clear explanations that make complex topics accessible
- Generous visual aids and proper exercises to enhance understanding
- Strong focus on duality properties in convex optimization
- Valuable for both undergraduate and graduate students
- Highly recommended for engineering professionals involved with optimization
Cons
- Assumes familiarity with multi-variable calculus and other advanced mathematical concepts
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