Schwarz-Christoffel Mapping


Book Description

This book provides a comprehensive look at the Schwarz-Christoffel transformation, including its history and foundations, practical computation, common and less common variations, and many applications in fields such as electromagnetism, fluid flow, design and inverse problems, and the solution of linear systems of equations. It is an accessible resource for engineers, scientists, and applied mathematicians who seek more experience with theoretical or computational conformal mapping techniques. The most important theoretical results are stated and proved, but the emphasis throughout remains on concrete understanding and implementation, as evidenced by the 76 figures based on quantitatively correct illustrative examples. There are over 150 classical and modern reference works cited for readers needing more details. There is also a brief appendix illustrating the use of the Schwarz-Christoffel Toolbox for MATLAB, a package for computation of these maps.










Conception systémique pour la conversion d'énergie électrique 2 : approche intégrée par optimisation


Book Description

Le contexte économique impose des systèmes toujours plus performants, minimisant coûts d’investissement et de possession. Si les méthodes d’analyse, de synthèse et de gestion présentées dans le premier volume Conception systémique pour la conversion d’énergie électrique 1 participent à l’optimisation des systèmes énergétiques, les techniques traitées dans cet ouvrage proposent d’aller encore plus loin dans la performance. La complexité de systèmes multidisciplinaires à fort degré de couplage augmentant, le processus de conception par optimisation consistant à coupler un modèle à un algorithme d’optimisation au sein d’un environnement logiciel devient dès lors indispensable. Ce volume rassemble les points-clés permettant de représenter efficacement et de façon compacte l’environnement système et les profils de mission, mais également les méthodes, modèles et outils dédiés à l’optimisation. Les approches multiniveaux de conception et l’optimisation technico-économique des réseaux électriques sont particulièrement détaillées.




Mathematical Reviews


Book Description




Electric and Magnetic Fields


Book Description

This book contains the edited versions of the papers presented at the Second International Workshop on Electric and Magnetic Fields held at the Katholieke Universiteit van Leuven (Belgium) in May 1994. This Workshop deals with numerical solutions of electromagnetic problems in real life applications. The topics include coupled problems (thermal, mechanical, electric circuits), CAD & CAM applications, 3D eddy current and high frequency problems, optimisation and application oriented numerical problems. This workshop was organised jointly by the AIM (Association of Engineers graduated from de Montefiore Electrical Institute) together with the Departments of Electrical Engineering of the Katholieke Universiteit van Leuven (Prof. R. Belmans), the University of Gent (Prof. J. Melkebbek) and the University of Liege (Prof. W. Legros). These laboratories are working together in the framework of the Pole d'Attraction Interuniversitaire - Inter-University Attractie-Pole 51 - on electromagnetic systems led by the University of Liege and the research work they perform covers most of the topics of the Workshop. One of the principal aims of this Workshop was to provide a bridge between the electromagnetic device designers, mainly industrialists, and the electromagnetic field computation developers. Therefore, this book contains a continuous spectrum of papers from application of electromagnetic models in industrial design to presentation of new theoretical developments.










Genetic Algorithms in Search, Optimization, and Machine Learning


Book Description

A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.