Diehl / Glineur / Jarlebring | Recent Advances in Optimization and its Applications in Engineering | E-Book | www2.sack.de
E-Book

E-Book, Englisch, 535 Seiten, eBook

Diehl / Glineur / Jarlebring Recent Advances in Optimization and its Applications in Engineering


2010
ISBN: 978-3-642-12598-0
Verlag: Springer
Format: PDF
 Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 535 Seiten, eBook

ISBN: 978-3-642-12598-0
Verlag: Springer
Format: PDF
 Kopierschutz: 1 - PDF Watermark

Mathematical optimization encompasses both a rich and rapidly evolving body of fundamental theory, and a variety of exciting applications in science and engineering. The present book contains a careful selection of articles on recent advances in optimization theory, numerical methods, and their applications in engineering. It features in particular new methods and applications in the fields of optimal control, PDE-constrained optimization, nonlinear optimization, and convex optimization. The authors of this volume took part in the 14th Belgian-French-German Conference on Optimization (BFG09) organized in Leuven, Belgium, on September 14-18, 2009. The volume contains a selection of reviewed articles contributed by the conference speakers as well as three survey articles by plenary speakers and two papers authored by the winners of the best talk and best poster prizes awarded at BFG09.

Researchers and graduate students in applied mathematics, computer science, and many branches of engineering will find in this book an interesting and useful collection of recent ideas on the methods and applications of optimization.

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Zielgruppe

Research

Autoren/Hrsg.

Diehl, Moritz
Glineur, Francois
Jarlebring, Elias
Michiels, Wim

Weitere Infos & Material

Introduction

Convex Optimization

Nonlinear Optimization

Optimal Control

Discrete Optimization

Optimization in Biomechanics and Robotics

Sensitivity Analysis of deterministic control systems

Optimization on Manifolds

Approaches to real-world scheduling problems

Optimization Methods for Hierarchical and Distributed Model Predictive Control

Distributed optimization algorithms

Control and identification of linear time varying (LTV) systems

Embedded optimisation for control

Optimization of Fluid Flows with AD-based Techniques

Numerical contributions and applications for Optimization with PDE constraints

Optimization in biomedical applications

Optimal Control Applications

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