Posted by **Underaglassmoon** at June 18, 2016

Springer | Differential Equations | July 19, 2016 | ISBN-10: 3319342185 | 128 pages | pdf | 1.88 mb

Authors: Jüngel, Ansgar

The first book to summarize entropy methods for cross-diffusion systems

The majority of the content should be accessible for advanced undergraduate and graduate students

Posted by **step778** at Feb. 17, 2015

2007 | pages: 121 | ISBN: 3540737049 | PDF | 1 mb

Posted by **Underaglassmoon** at May 1, 2016

Springer | Materials | May 29, 2016 | ISBN-10: 3319270117 | 516 pages | pdf | 21.74 mb

Editors: Gao, M.C., Yeh, J.-W., Liaw, P.K., Zhang, Y. (Eds.)

Explains all aspects of high-entropy alloys including formation rules, processing, physical metallurgy, mechanical behavior, functional properties, prediction of the structure using various ab initio methods, thermodynamics and elasticity, liquid structure and solidification, CALPHAD modeling, and future prospects

Details computational procedures for high-entropy alloys and the latest computational development of high-entropy alloys

Posted by **tanas.olesya** at Sept. 27, 2015

English | 15 May 1997 | ISBN: 0817639721 | 197 Pages | PDF | 6 MB

This book takes the topic of H-infinity control as a point of departure, and pursues an improved controller design suggested in the mainstream of robust control. Using stochastic methods, the book is important to the circuits and systems community, alongside researchers in networking systems, operator theory and linear multivariable control.

Posted by **Underaglassmoon** at Jan. 22, 2015

Oxford | Physics, Mathematics | 1. June 2006 | ISBN-10: 0198566778 | 376 pages | pdf | 5 mb

In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods.

Posted by **interes** at June 25, 2014

English | 2011 | ISBN: 1848163479 | ISBN-13: 9781848163478 | 200 pages | PDF | 2,3 MB

This volume offers the reader practical methods to compute the option prices in the incomplete asset markets. The [GLP & MEMM] pricing models are clearly introduced, and the properties of these models are discussed in great detail.

Posted by **ksenya.b** at Dec. 18, 2013

Entropy is a versatile and easy to use archiver capable of creating, modifying and extracting many archive formats.allows you create, modify and extract popular archive formats like zip, 7z and tar.

Posted by **rolexmaya** at Dec. 26, 2011

Now Publishers Inc | February 26, 2008 | ISBN-10: 160198104X | 168 pages | PDF | 1.1 Mb

Information and Entropy Econometrics - A Review and Synthesis summarizes the basics of information theoretic methods in econometrics and the connecting theme among these methods.

Posted by **step778** at Feb. 14, 2011

Publisher: Now Publishers Inc | pages: 168 | 2008 | ISBN: 160198104X | PDF | 1 mb

Information and Entropy Econometrics - A Review and Synthesis summarizes the basics of information theoretic methods in econometrics and the connecting theme among these methods. The sub-class of methods that treat the observed sample moments as stochastic is discussed in greater details. I Information and Entropy Econometrics - A Review and Synthesis · focuses on inter-connection between information theory, estimation and inference. · provides a detailed survey of information theoretic concepts and quantities used within econometrics and then show how these quantities are used within IEE.

Posted by **DZ123** at Jan. 11, 2011

Publisher: Springer | ISBN: 3540787364 | edition 2008 | PDF | 248 pages | 3,5 mb

The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reason why we concentrate on fuzzy c-means is that most methodology and application studies in fuzzy clustering use fuzzy c-means, and hence fuzzy c-means should be considered to be a major technique of clustering in general, regardless whether one is interested in fuzzy methods or not. Unlike most studies in fuzzy c-means, what we emphasize in this book is a family of algorithms using entropy or entropy-regularized methods which are less known, but we consider the entropy-based method to be another useful method of fuzzy c-means.