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Engineering - Computational Intelligence and Complexity | Recent Advances in Optimization and its Applications in Engineering

Recent Advances in Optimization and its Applications in Engineering

Diehl, M., Glineur, F., Jarlebring, E., Michiels, W. (Eds.)

2010, XI, 535 p.

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  • Recent advances in optimization in engineering
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.

Content Level » Research

Keywords » algorithm - algorithms - biomechanics - calculus - identification - linear optimization - mechanics - model - model predictive control - nonlinear optimization - numerical methods - optimal control - optimization - partial differential equation - robotics

Related subjects » Computational Intelligence and Complexity - Control Engineering - Mathematics - Mechanics

Table of contents / Sample pages 

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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