Adaptive finite element methods optimal control governed by PDEs

ADAPTIVE FINITE ELEMENT METHODS: Optimal Control Governed by PDEs emphasizes the discussions of some unique issues from the adaptive finite element approximation of optimal control. The main idea used in the approximation error analysis (both a priori and a posteriori) is to first combine convex ana...

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Bibliographic Details
Main Author: Liu, Wenbin
Other Authors: Yan, Ningning
Format: Book
Language:English
Published: Beijing, China Oxford Science Press Alpha Science International 2012
Series:Series in information and computational science
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020 |a 9781842657157 (alpha science) 
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039 9 |a 201404141419  |b zul  |c 201311261212  |d shahrim  |y 201310051553  |z aiza 
040 |a UPNM 
090 |a TA 347 .F5  |b .L58 2012 
100 1 |a Liu, Wenbin 
245 1 0 |a Adaptive finite element methods  |b optimal control governed by PDEs  |c Wenbin Liu, Ningning Yan 
260 |a Beijing, China  |b Science Press  |a Oxford  |b Alpha Science International  |c 2012 
300 |a viii, 197 p.  |b ill.  |c 25 cm 
490 1 |a Series in information and computational science 
504 |a Includes bibliographical references. 
505 0 |a Ch 1. Introduction -- Ch 2. Existence and Optimality Conditions of Optimal Control -- Ch 3. Finite Element Approximation of Optimal Control -- Ch 4. A Priori Error Estimates for Optimal Control (I) -- Ch 5. A Priori Error Estimates for Optimal Control (II) -- Ch 6. Adaptivity Finite Element Method for Optimal Control -- Ch 7. A Posteriori Error Estimates for Optimal Control -- Ch 8. Numerical Computations of Optimal Control -- Ch 9. Recovery Based a Posteriori Error Estimators -- Ch 10. Adaptive Mixed Finite Element Method for Optimal Control -- Bibliography 
520 |a ADAPTIVE FINITE ELEMENT METHODS: Optimal Control Governed by PDEs emphasizes the discussions of some unique issues from the adaptive finite element approximation of optimal control. The main idea used in the approximation error analysis (both a priori and a posteriori) is to first combine convex analysis and interpolation error estimations of suitable interpolators, which depend on the structure of the control constraints, to derive the error estimates for the control via the variational inequalities in the optimality conditions, and then to apply the standard techniques to derive the error estimates for the state equations. The need, the framework and the techniques of using multi adaptive meshes in developing efficient numerical algorithms for optimal control have been emphasized throughout the book. The book starts from several typical examples of optimal control problems and then discusses existence and optimality conditions for some optimal control problems. Then the finite element approximation schemes for several typical optimal control problems are set up, their a priori and a posteriori error estimates are derived following the main idea mentioned, and their computational methods are studied. 
592 |a 00012621  |b 31/10/2013  |c RM211.48  |h PVK 
650 0 |a Finite element method. 
650 0 |a Differential equations, partial  |x Numerical solutions. 
700 1 |a Yan, Ningning 
830 0 |a Series in information and computational science 
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