کنترل بهینه‌ی قطعی و تصادفی و مسائل معکوس ۲۰۲۱
Deterministic and Stochastic Optimal Control and Inverse Problems 2021

1. Cover Page

2. Title Page

3. Copyright Page

4. Dedication

5. Preface

6. Table of Contents

7. Contributors

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

23. Index