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...

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Detaylı Bibliyografya
Asıl Yazarlar: Li, Zhening, He, Simai (Yazar), Zhang, Shuzhong (Yazar)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: New York, NY : Springer New York [20..].
Cham : Springer Nature
Edisyon:1st ed. 2012.
Seri Bilgileri:SpringerBriefs in Optimization
Konular:
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Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Approximation Methods for Polynomial Optimization, Texte imprimé, 9781461439837
• Approximation Methods for Polynomial Optimization, Texte imprimé, 9781461439851
• Approximation Methods for Polynomial Optimization, Texte imprimé, 9781461439837
• Approximation Methods for Polynomial Optimization, Texte imprimé, 9781461439851
• Approximation Methods for Polynomial Optimization, Texte imprimé, 9781461439837
İçindekiler:
  • 1.  Introduction.-2. Polynomial over the Euclidean Ball 3. Extensions of the Constraint Sets 4. Applications 5. Concluding Remarks
  • 1.  Introduction
  • 2. Polynomial over the Euclidean Ball
  • 3. Extensions of the Constraint Sets
  • 4. Applications
  • 5. Concluding Remarks