Posted by **tanas.olesya** at Sept. 21, 2016

English | 23 May 2007 | ISBN: 0817645373 | 451 Pages | PDF | 3 MB

This comprehensive monograph details polynomially convex sets. It presents the general properties of polynomially convex sets with particular attention to the theory of the hulls of one-dimensional sets.

Posted by **step778** at July 29, 2015

Posted by **AvaxGenius** at April 26, 2018

This book presents the proceedings of the international conference Analytic Aspects in Convexity, which was held in Rome in October 2016. It offers a collection of selected articles, written by some of the worldâ€™s leading experts in the field of Convex Geometry, on recent developments in this area: theory of valuations; geometric inequalities; affine geometry; and curvature measures. The book will be of interest to a broad readership, from those involved in Convex Geometry, to those focusing on Functional Analysis, Harmonic Analysis, Differential Geometry, or PDEs. The book is a addressed to PhD students and researchers, interested in Convex Geometry and its links to analysis.

Posted by **AvaxGenius** at Feb. 5, 2018

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.

Posted by **insetes** at Dec. 26, 2017

2009 | 308 Pages | ISBN: 3540856706 | PDF | 2 MB

Posted by **ChrisRedfield** at Nov. 12, 2017

Published: 1987-01-01 | ISBN: 0898712033 | PDF | 97 pages | 4.29 MB

Posted by **BUGSY** at April 20, 2015

English | Jan 1, 1987 | ISBN: 0898712033 | 100 Pages | DJVU | 0.6 MB

A study of how complexity questions in computing interact with classical mathematics in the numerical analysis of issues in algorithm design. Algorithmic designers concerned with linear and nonlinear combinatorial optimization will find this volume especially useful.

Posted by **DZ123** at March 22, 2015

English | 2004 | ISBN: 3764324201 | PDF | pages: 165 | 19,1 mb

Posted by **step778** at Aug. 23, 2013

2004 | pages: 160 | ISBN: 3764324201 | PDF | 19,2 mb

Posted by **AvaxGenius** at May 20, 2018

The subject of this book is the solution of polynomial equations, that is, s- tems of (generally) non-linear algebraic equations. This study is at the heart of several areas of mathematics and its applications. It has provided the - tivation for advances in di?erent branches of mathematics such as algebra, geometry, topology, and numerical analysis. In recent years, an explosive - velopment of algorithms and software has made it possible to solve many problems which had been intractable up to then and greatly expanded the areas of applications to include robotics, machine vision, signal processing, structural molecular biology, computer-aided design and geometric modelling, as well as certain areas of statistics, optimization and game theory, and b- logical networks.