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210079901
Approximation Algorithms and Semidefinite Programming
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Nº de artículo:
210079901
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Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency.
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What Stands Out
Comprehensive Coverage
This edition provides an in-depth exploration of both approximation algorithms and semidefinite programming, making complex concepts accessible for students and researchers seeking a robust understanding of these critical areas in optimization.
Practical Applications
Real-world case studies and examples illustrate the utility of approximation algorithms in solving NP-hard problems, empowering readers to apply theoretical knowledge to practical situations effectively.
Updated Insights
The 2012 edition includes the latest research developments and techniques, positioning it as an essential reference for academics and practitioners keen on staying at the forefront of optimization advancements.
Detalles de producto
| Publisher | Springer |
| Publication date | January 13, 2012 |
| Edition | 2012th |
| Language | English |
| Print length | 262 pages |
| ISBN-10 | 9783642220142 |
| ISBN-13 | 978-3642220142 |
| Item Weight | 1.08 pounds (490 grams) |
| Dimensions | 6 x 1 x 9.25 inches (15.2 x 2.5 x 23.5 cm) |
Who Should Buy?
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Computer Science Students
Ideal for students studying algorithms or optimization, enhancing their understanding of approximation methods and semidefinite programming.
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Research Professionals
Perfect for researchers focused on computational complexity, providing insights into advanced algorithmic strategies and theory.
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Mathematics Enthusiasts
Great for mathematics enthusiasts interested in applied mathematics, exploring theoretical concepts in algorithm development and optimization.
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Beginner Programmers
Not suitable for beginners lacking foundational knowledge of algorithms, as the content may be too advanced and challenging.
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Approximation Algorithms and Semidefinite Programming
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Preguntas y respuestas de los clientes
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Pregunta:
What is semidefinite programming?
Respuesta: Semidefinite programming is a class of optimization problems that involves optimizing a linear objective function subject to semidefinite constraints. -
Pregunta:
Can this book help with practical applications?
Respuesta: Yes, the book discusses both theoretical concepts and practical applications, making it useful for real-world problem-solving. -
Pregunta:
Is prior knowledge in optimization required to understand the book?
Respuesta: While basic understanding helps, the book covers foundational topics, making it accessible to those new to the field.
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ventajas
- Clear explanations of algorithms
- Comprehensive coverage of topics
- Well-structured and organized
- Useful examples and exercises
- Strong insights into semidefinite programming
Contras
- A few minor typographical errors.
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características y beneficios
- Introduces semidefinite programming and its applications in approximation algorithms.
- Covers both basic and advanced topics in the field.
- Highlights the efficiency of solving optimization problems.
- Discusses key algorithms for problems like MAXCUT.
- Explores the significance of the Unique Games Conjecture.
- Provides insights into the mathematical principles behind approximation algorithms.
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