Approximation Methods For Polynomial Optimization
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Approximation Methods for Polynomial Optimization
Author: Zhening Li
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-07-25
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.
Approximation Methods for Solutions of Differential and Integral Equations
Author: V. K. Dzyadyk
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2018-11-05
No detailed description available for "Approximation Methods for Solutions of Differential and Integral Equations".
Proceedings of the Second International Conference on Mechatronics and Automatic Control
This book examines mechatronics and automatic control systems. The book covers important emerging topics in signal processing, control theory, sensors, mechanic manufacturing systems and automation. The book presents papers from the second International Conference on Mechatronics and Automatic Control Systems held in Beijing, China on September 20-21, 2014. Examines how to improve productivity through the latest advanced technologies Covering new systems and techniques in the broad field of mechatronics and automatic control systems