Mathematical Programming, Regularization and Approximation
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Total Pages | : 239 |
Release | : 2002 |
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Author | : |
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Total Pages | : 239 |
Release | : 2002 |
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Total Pages | : 239 |
Release | : 2002 |
Genre | : Polynomials |
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Author | : Jurij S. Osipov |
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Total Pages | : 239 |
Release | : 2002 |
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Author | : Yu. S. Osipov |
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Total Pages | : 239 |
Release | : 2002 |
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Author | : Marc Lassonde |
Publisher | : Springer Science & Business Media |
Total Pages | : 390 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 3642575927 |
The articles in this proceedings volume reflect the current trends in the theory of approximation, optimization and mathematical economics, and include numerous applications. The book will be of interest to researchers and graduate students involved in functional analysis, approximation theory, mathematical programming and optimization, game theory, mathematical finance and economics.
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Total Pages | : 239 |
Release | : 2002 |
Genre | : Polynomials |
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Author | : Ioannis C. Demetriou |
Publisher | : Springer |
Total Pages | : 237 |
Release | : 2019-05-10 |
Genre | : Mathematics |
ISBN | : 3030127672 |
This book focuses on the development of approximation-related algorithms and their relevant applications. Individual contributions are written by leading experts and reflect emerging directions and connections in data approximation and optimization. Chapters discuss state of the art topics with highly relevant applications throughout science, engineering, technology and social sciences. Academics, researchers, data science practitioners, business analysts, social sciences investigators and graduate students will find the number of illustrations, applications, and examples provided useful. This volume is based on the conference Approximation and Optimization: Algorithms, Complexity, and Applications, which was held in the National and Kapodistrian University of Athens, Greece, June 29–30, 2017. The mix of survey and research content includes topics in approximations to discrete noisy data; binary sequences; design of networks and energy systems; fuzzy control; large scale optimization; noisy data; data-dependent approximation; networked control systems; machine learning ; optimal design; no free lunch theorem; non-linearly constrained optimization; spectroscopy.
Author | : Yanfei Wang |
Publisher | : Springer Science & Business Media |
Total Pages | : 354 |
Release | : 2011-06-29 |
Genre | : Mathematics |
ISBN | : 3642137423 |
"Optimization and Regularization for Computational Inverse Problems and Applications" focuses on advances in inversion theory and recent developments with practical applications, particularly emphasizing the combination of optimization and regularization for solving inverse problems. This book covers both the methods, including standard regularization theory, Fejer processes for linear and nonlinear problems, the balancing principle, extrapolated regularization, nonstandard regularization, nonlinear gradient method, the nonmonotone gradient method, subspace method and Lie group method; and the practical applications, such as the reconstruction problem for inverse scattering, molecular spectra data processing, quantitative remote sensing inversion, seismic inversion using the Lie group method, and the gravitational lensing problem. Scientists, researchers and engineers, as well as graduate students engaged in applied mathematics, engineering, geophysics, medical science, image processing, remote sensing and atmospheric science will benefit from this book. Dr. Yanfei Wang is a Professor at the Institute of Geology and Geophysics, Chinese Academy of Sciences, China. Dr. Sc. Anatoly G. Yagola is a Professor and Assistant Dean of the Physical Faculty, Lomonosov Moscow State University, Russia. Dr. Changchun Yang is a Professor and Vice Director of the Institute of Geology and Geophysics, Chinese Academy of Sciences, China.
Author | : Jurij S. Osipov |
Publisher | : |
Total Pages | : 0 |
Release | : 2002 |
Genre | : Polynomials |
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Author | : Michel Thera |
Publisher | : Springer Science & Business Media |
Total Pages | : 281 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 3642457800 |
This book presents recent developments in the field of ill-posed variational problems and variational inequalities, covering a large range of theoretical, numerical and practical aspects. The main topics are: - Regularization techniques for equilibrium and fixed point problems, variational inequalities and complementary problems, - Links between approximation, penalization and regularization, - Bundle methods, nonsmooth optimization and regularization, - Error Bounds for regularized optimization problems.