Shape Optimization And Optimal Design (eBook, ePUB)

Redaktion: Cagnol, John; Zolesio, Jean-Paul; Polis, Michael P.

• Format: ePub

Produktbeschreibung

Presents developments and advances in modelling passive and active control systems governed by partial differential equations. This book emphasizes shape analysis, optimal shape design, controllability, nonlinear boundary control, and stabilization.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 450
• Erscheinungstermin: 2. August 2017
• Englisch
• ISBN-13: 9781135555184
• Artikelnr.: 73214256

Autorenporträt

John Cagnol (Pole Universitaire Leonard de Vinci, Paris, France) (Edited by) , Michael P. Polis (Oakland University, Rochester, Michigan, USA) (Edited by) , Jean-Paul Zolesio (CNRS, Sophia Antipolis, France) (Edited by)

Inhaltsangabe

Boundary variations in the Navier-Stokes equations and Langrangian functionals
shape sensitivity analysis in the Maxwell's equations
tangential calculus and shape derivatives
slope stability and shape optimization - numerical aspects
parallel solution of contact problems
Eulerian derivative for noncylindrical functionals
simultaneous exact/approximate boundary controllability of thermo-elastic plates with variable transmission coefficient
shape derivative on a fractured manifold
shape sensitivity analysis of problems with singularities
mapping method in optimal shape design problems governed by hemivariational inequalities
existence of free-boundary for a two non-Newtonian fluids problem
some new problems occurring in modelling of oxygen sensors
adaptive control of a wake flow using proper orthogonal decomposition
nonlinear boundary feedback stabilization of dynamic elasticity with thermal effects
domain optimization for unilateral problems by an embedding domain method
feedback laws for the optimal control of parabolic variational inequalities
application of special smoothing procedure to numerical solutions of inverse problems for real 2-D systems
asymtotic analysis of aircraft wing model in subsonic airflow
weak set evolution and variational applications.