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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)
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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
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