Posted by **naag** at April 1, 2017

2013 | ISBN: 1611972663 | English | 445 pages | PDF | 3 MB

Posted by **ksveta6** at Dec. 14, 2015

2013 | ISBN: 1611972663 | English | 445 pages | PDF | 3 MB

Posted by **naag** at March 21, 2017

English | 2014 | ISBN: 1611973643 | 294 pages | PDF | 3 MB

Posted by **AlenMiler** at Jan. 11, 2017

English | 28 Jan. 2017 | ISBN: 3319515942 | 248 Pages | PDF (True) | 100.33 MB

This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm.

Posted by **arundhati** at July 1, 2016

English | 2014 | ISBN: 1611973643 | 294 pages | PDF | 3 MB

Posted by **interes** at June 16, 2015

English | 2014 | ISBN: 1611973643 | 294 pages | PDF | 59 MB

Posted by **arundhati** at June 16, 2015

2014 | ISBN-10: 1611973643 | 294 pages | Djvu | 5 MB

Posted by **AvaxGenius** at Feb. 15, 2018

The purpose of this book is to acquaint the reader with the developments in bilinear systems theory and its applications. Bilinear systems can be used to represent a wide range of physical, chemical, biological, and social systems, as well as manufacturing processes, which cannot be effectively modeled under the assumption of linearity. This book provides a unified approach for the identification and control of nonlinear complex objects that can be transformed into bilinear systems, with a focus on the control of open physical processes functioning in a non-equilibrium mode.

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 **hill0** at Feb. 5, 2018

English | 24 Sept. 2017 | ISBN: 9811036799 | 284 Pages | PDF | 4.16 MB