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273833199
Nonconvex Optimization and Its Applicati Approximation and Complexity in Numerical Optimization: Continuous and Discrete Problems, Book 42,
Item #:
273833199
PYG 1749653
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Much recent progress in approximation algorithms for nonconvex continuous and discrete problems has revolutionized the approach to solving optimization problems.
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- There has been much recent progress in approximation algorithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. In discrete (or combinatorial) optimization many approaches have been developed recently that link the discrete universe to the continuous universe through geomet- ric, analytic, and algebraic techniques. Such techniques include global optimization formulations, semidefinite programming, and spectral theory. As a result new ap- proximate algorithms have been discovered and many new computational approaches have been developed. Similarly, for many continuous nonconvex optimization prob- lems, new approximate algorithms have been developed based on semidefinite pro- gramming and new randomization techniques. On the other hand, computational complexity, originating from the interactions between computer science and numeri- cal optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty. The main focus of complexity is the study of whether existing algorithms are efficient for the solution of problems, and which problems are likely to be tractable. The quest for developing efficient algorithms leads also to elegant general approaches for solving optimization problems, and reveals surprising connections among problems and their solutions. A conference on Approximation and Complexity in Numerical Optimization: Con- tinuous and Discrete Problems was held during February 28 to March 2, 1999 at the Center for Applied Optimization of the University of Florida.
| Publication date | May, 2000 |
| Author | Panos M Pardalos |
| Book format | Hardcover |
| Genre | Computing & Internet |
| Pages | 581 |
| Age group | Adult |
| Binding type | Case Binding |
| Series title | Nonconvex Optimization and Its Applications |
| Fiction/nonfiction | Non-Fiction |
| Publisher | Springer Us |
| Educational level | Higher |
| Subgenre | Industrial Engineering |
| Original languages | English |
| Edu focus | Mathematics |
| Number in series | 42 |
| Recording time | 0 min |
| Is collectible | N |
| Bisac subject heading | Technology & Engineering |
| Edition | 2000 Edition |
| Language | English |
| Pub date | 2000-05-31 |
| Item Weight | 3 lbs (1.36 kg) |
Product Description
Nonconvex Optimization and Its Applicati Approximation and Complexity in Numerical Optimization: Continuous and Discrete Problems, Book 42, (Hardcover)
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Features & Benefits
- Explore groundbreaking advancements in nonconvex optimization.
- Learn about new approximation algorithms for continuous and discrete problems.
- Discover techniques linking discrete and continuous optimization.
- Understand the impact of computational complexity on algorithm efficiency.
- Get insights from a significant conference on Approximation and Complexity.
- Enhance your knowledge on the latest computational approaches and their applications.
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