Deterministic and Stochastic Optimal Control and Inverse Problems

Author:   Baasansuren Jadamba (Rochester Ins of Tech, USA) ,  Akhtar A. Khan (Rochester Inst of Tech, USA) ,  Stanisław Migórski (Jagiellonian University, Poland) ,  Miguel Sama (The Nat Distance Education Uni, Spain)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367506308


Pages:   380
Publication Date:   15 December 2021
Format:   Hardback
Availability:   In Print   Availability explained
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Deterministic and Stochastic Optimal Control and Inverse Problems


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Author:   Baasansuren Jadamba (Rochester Ins of Tech, USA) ,  Akhtar A. Khan (Rochester Inst of Tech, USA) ,  Stanisław Migórski (Jagiellonian University, Poland) ,  Miguel Sama (The Nat Distance Education Uni, Spain)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.766kg
ISBN:  

9780367506308


ISBN 10:   0367506300
Pages:   380
Publication Date:   15 December 2021
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. All-At-Once Formulation Meets the Bayesian Approach: A Study of Two Prototypical Linear Inverse Problems 2. On Iterated Tikhonov Kaczmarz Type Methods for Solving Systems of Linear Ill-posed Operator Equations 3. On Numerical Approximation of Optimal Control for Stokes Hemivariational Inequalities 4. Nonlinear Tikhonov Regularization in Hilbert Scales with Oversmoothing Penalty: Inspecting Balancing Principles 5. An Optimization Approach to Parameter Identification in Variational Inequalities of Second Kind-II 6. Generalized Variational-hemivariational Inequalities in Fuzzy Environment 7. Boundary Stabilization of the Linear MGT Equation with Feedback Neumann Control 8. Sweeping Process Arguments in the Analysis and Control of a Contact Problem 9. Anderson Acceleration for Degenerate and Nondegenerate Problems 10. Approximate Coincidence Points for Single-valued Maps and Aubin Continuous Set-valued Maps 11. Stochastic Variational Approach for Random Cournot-Nash Principle 12. Augmented Lagrangian Methods For Optimal Control Problems Governed by Mixed Variational-Hemivariational Inequalities Involving a Set-valued Mapping 13. Data Driven Reconstruction Using Frames and Riesz Bases 14. Antenna Problem Induced Regularization and Sampling Strategies 15. An Equation Error Approach for Identifying a Random Parameter in a Stochastic Partial Differential Equation

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Author Information

Baasansuren Jadamba is an Associate Professor at the Rochester Institute of Technology. She received her Ph.D. from Friedrich-Alexander University Erlangen-Nuremberg in 2004. Her research interests are numerical analysis of partial differential equations, finite element methods, parameter identification problems in partial differential equations, and stochastic equilibrium problems. Akhtar A. Khan is a Professor at the Rochester Institute of Technology. His research deals with set-valued Optimization, inverse problems, and variational inequalities. He is a co-author of Set-valued Optimization, Springer (2015), and Co-editor of Nonlinear Analysis and Variational Problems, Springer (2009). He is Co-Editor in Chief of the Journal of Applied and Numerical Optimization, and Editorial Board member of Optimization, Journal of Optimization Theory and Applications, and Journal of Nonlinear and Variational Analysis. Stanisław Migórski received his Ph.D. and Habilitation from Jagiellonian University in Krakow (JUK). Currently, he is a Full and Chair Professor of Mathematics at the Faculty of Mathematics and Computer Science at JUK. He published research work in the field of mathematical analysis and applications (partial differential equations, variational inequalities, optimal control, and Optimization). He has edited and authored books from publishers Kluwer/Plenum, Springer and Chapman & Hall. Miguel Sama is an associate professor at Universidad Nacional Educación a Distancia (Madrid, Spain). His research is broadly on Optimization, focusing mainly on Applied Mathematics Models. His research interests are in infinite-dimensional optimization problems. They cover a wide range of theoretical and applied topics such as Ordered Vector Spaces, Set-Valued Analysis, Vector, Set-Valued Optimization, PDE-constrained Optimization, Inverse Problems, Optimal Control Problems, and Uncertainty Quantification.

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