Multi-dimensional control problems robust approach / [electronic resource] :
- 作者: Jayswal, Anurag.
- 其他作者:
- 其他題名:
- Industrial and applied mathematics.
- 出版: Singapore : Springer Nature Singapore :Imprint: Springer
- 叢書名: Industrial and applied mathematics,
- 主題: Mathematical optimization. , Robust control--Mathematics. , Systems Theory, Control. , Dynamical Systems. , Optimization. , Applications of Mathematics. , Mathematical Modeling and Industrial Mathematics.
- ISBN: 9789811965616 (electronic bk.) 、 9789811965609 (paper)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 內容註: Preface -- Glossary of Notations -- Chapter 1. Introduction -- Chapter 2. Multi-dimensional Variational Control Problem with Data Uncertainty in Objective Functional -- Chapter 3. Multi-dimensional Variational Control Problem with Data Uncertainty in Constraint Functionals -- Chapter 4. Multi-dimensional Variational Control Problem with Data Uncertainty in Objective and Constraint Functionals -- Chapter 5. The Modified Approach for Multi-dimensional Optimization Problem with Data Uncertainty -- Chapter 6. Semi-infinite Multi-dimensional Variational Control Problem with Data Uncertainty -- Chapter 7. Robust Duality for Multi-dimensional Variational Control Problem with Data Uncertainty -- Chapter 8. On a Class of Second-order PDE&PDI Constrained Robust Optimization Problems -- Bibliography.
- 摘要註: This book deals with several types of multi-dimensional control problems in the face of data uncertainty for vector cases-multi-dimensional multi-objective control problem with uncertain objective functionals, uncertain constraint functionals, and uncertain objective as well as constraint functionals, uncertain multi-dimensional multi-objective control problem with semi-infinite constraints, uncertain dual multi-dimensional multi-objective variational control problem, and second-order PDE&PDI constrained robust optimization problem. The book provides the solution approaches-an exact l1 penalty function approach, modified objective approach, robust approach-in the simplest way to solve the recent developing optimization problems in the sense of uncertainty.
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讀者標籤:
- 系統號: 005518794 | 機讀編目格式
館藏資訊
This book deals with several types of multi-dimensional control problems in the face of data uncertainty for vector cases—multi-dimensional multi-objective control problem with uncertain objective functionals, uncertain constraint functionals, and uncertain objective as well as constraint functionals, uncertain multi-dimensional multi-objective control problem with semi-infinite constraints, uncertain dual multi-dimensional multi-objective variational control problem, and second-order PDE&PDI constrained robust optimization problem. The book provides the solution approaches—an exact l1 penalty function approach, modified objective approach, robust approach—in the simplest way to solve the recent developing optimization problems in the sense of uncertainty.