Control and optimization with PDE constraints
 Responsibility
 Kristian Bredies ... [et al.], editors.
 Language
 English.
 Imprint
 Basel ; New York : Birkhäuser, c2013.
 Physical description
 x, 215 p. : ill. (some col.) ; 24 cm.
 Series
 International series of numerical mathematics ; v. 164.
Access
Creators/Contributors
 Contributor
 Bredies, Kristian.
Contents/Summary
 Bibliography
 Includes bibliographical references.
 Contents

 Preface. An Adaptive POD Approximation Method for the Control of AdvectionDiffusion Equations (A. Alla and M. Falcone). Generalized Sensitivity Analysis for Delay Differential Equations (H. T. Banks, D. Robbins and K. L. Sutton). Regularity and Unique Existence of Solution to Linear Diffusion Equation with Multiple TimeFractional Derivatives (S. Beckers and M. Yamamoto). Nonsmooth Optimization Method and Sparsity (K. Ito). Parareal in Time Intermediate Targets Methods for Optimal Control Problem (Y. Maday, M. K. Riahi and J. Solomon). HamiltonJacobiBellman Equations on MultiDomains (Z. Rao and H. Zidani). Gradient Computation for Model Calibration with Pointwise Observations (E. W. Sachs and M. Schu). Numerical Analysis of POD APosteriori Error Estimation for Optimal Control (A. Studinger and S. Volkwein). Cubature on C1 Space (G. Turinici). A Globalized Newton Method for the Optimal Control of Fermionic Systems (G. von Winckel). A Priori Error Estimates for Optimal Control Problems with Constraints on the Gradient of the State on Nonsmooth Polygonal Domains (W. Wollner).
 (source: Nielsen Book Data)
 Publisher's Summary
 Many mathematical models of physical, biological and social systems involve partial differential equations (PDEs). The desire to understand and influence these systems naturally leads to considering problems of control and optimization. This book presents important topics in the areas of control of PDEs and of PDEconstrained optimization, covering the full spectrum from analysis to numerical realization and applications. Leading scientists address current topics such as nonsmooth optimization, HamiltonJacobiBellmann equations, issues in optimization and control of stochastic partial differential equations, reducedorder models and domain decomposition, discretization error estimates for optimal control problems, and control of quantumdynamical systems. These contributions originate from the "International Workshop on Control and Optimization of PDEs" in Mariatrost in October 2011. This book is an excellent resource for students and researchers in control or optimization of differential equations. Readers interested in theory or in numerical algorithms will find this book equally useful.
(source: Nielsen Book Data)
Subjects
Bibliographic information
 Publication date
 2013
 Series
 International series of numerical mathematics ; v. 164
 ISBN
 9783034806305 (hbk.)
 3034806302 (hbk.)