Approximation Methods for Polynomial Optimization Models, Algorithms, and Applications /

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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Bibliographic Details
Main Authors: Li, Zhening (Author), He, Simai (Author), Zhang, Shuzhong (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2012.
Series:SpringerBriefs in Optimization,
Subjects:
Mathematics.
Applied mathematics.
Engineering mathematics.
Algorithms.
Mathematical models.
Mathematical optimization.
Optimization.
Mathematical Modeling and Industrial Mathematics.
Applications of Mathematics.
Online Access:Full Text via HEAL-Link

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ΒΚΠ - Πατρα: BSC

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