Deterministic and Stochastic Optimal Control and Inverse Problems
eBook - ePub

Deterministic and Stochastic Optimal Control and Inverse Problems

  1. 380 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Deterministic and Stochastic Optimal Control and Inverse Problems

About this book

Inverse problems of identifying parameters and initial/boundary conditions in deterministic and stochastic partial differential equations constitute a vibrant and emerging research area that has found numerous applications. A related problem of paramount importance is the optimal control problem for stochastic differential equations.

This edited volume comprises invited contributions from world-renowned researchers in the subject of control and inverse problems. There are several contributions on optimal control and inverse problems covering different aspects of the theory, numerical methods, and applications. Besides a unified presentation of the most recent and relevant developments, this volume also presents some survey articles to make the material self-contained. To maintain the highest level of scientific quality, all manuscripts have been thoroughly reviewed.

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Yes, you can access Deterministic and Stochastic Optimal Control and Inverse Problems by Baasansuren Jadamba,Akhtar A. Khan,Miguel Sama,Stanisław Migórski in PDF and/or ePUB format, as well as other popular books in Computer Science & Differential Equations. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2021
Print ISBN
9780367506308
eBook ISBN
9781000511758
Edition
1
Topic
Computer Science
Subtopic
Differential Equations
Index
Computer Science

Table of contents

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