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Approximation Methods for Polynomial Optimization Models, Algorithms, and Applications /
Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research, biomedical engineering, investment science, to quantum mechanics, linear algebra, and signal processing, among many others. In this brief the authors discuss some import...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Colección: | SpringerBriefs in Optimization,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4614-3984-4 | ||
| 003 | DE-He213 | ||
| 005 | 20220119050800.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120723s2012 xxu| s |||| 0|eng d | ||
| 020 | |a 9781461439844 |9 978-1-4614-3984-4 | ||
| 024 | 7 | |a 10.1007/978-1-4614-3984-4 |2 doi | |
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| 100 | 1 | |a Li, Zhening. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Approximation Methods for Polynomial Optimization |h [electronic resource] : |b Models, Algorithms, and Applications / |c by Zhening Li, Simai He, Shuzhong Zhang. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2012. | |
| 300 | |a VIII, 124 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a SpringerBriefs in Optimization, |x 2191-575X | |
| 505 | 0 | |a 1. Introduction.-2. Polynomial over the Euclidean Ball -- 3. Extensions of the Constraint Sets -- 4. Applications -- 5. Concluding Remarks. | |
| 520 | |a Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research, biomedical engineering, investment science, to quantum mechanics, linear algebra, and signal processing, among many others. In this brief the authors discuss some important subclasses of polynomial optimization models arising from various applications, with a focus on approximations algorithms with guaranteed worst case performance analysis. The brief presents a clear view of the basic ideas underlying the design of such algorithms and the benefits are highlighted by illustrative examples showing the possible applications. This timely treatise will appeal to researchers and graduate students in the fields of optimization, computational mathematics, Operations Research, industrial engineering, and computer science. | ||
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Mathematical models. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Mathematics. | |
| 650 | 1 | 4 | |a Optimization. |
| 650 | 2 | 4 | |a Mathematical Modeling and Industrial Mathematics. |
| 650 | 2 | 4 | |a Algorithms. |
| 650 | 2 | 4 | |a Applications of Mathematics. |
| 700 | 1 | |a He, Simai. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Zhang, Shuzhong. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781461439851 |
| 776 | 0 | 8 | |i Printed edition: |z 9781461439837 |
| 830 | 0 | |a SpringerBriefs in Optimization, |x 2191-575X | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4614-3984-4 |z Texto Completo |
| 912 | |a ZDB-2-SMA | ||
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||