Multi-dimensional control problems: robust approach
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 functional...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer
[2022]
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| Schriftenreihe: | Industrial and applied mathematics
|
| Schlagworte: | |
| Zusammenfassung: | 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 |
| Beschreibung: | 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. |
| Beschreibung: | xv, 186 Seiten 320 gr |
| ISBN: | 9789811965630 |
Internformat
MARC
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| 500 | |a 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. | ||
| 520 | |a 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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| 650 | 4 | |a Dynamical systems | |
| 650 | 4 | |a Mathematical optimization | |
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Datensatz im Suchindex
| _version_ | 1804186232573394944 |
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| any_adam_object_boolean | |
| author | Jayswal, Anurag Preeti Treanţӑ, Savin |
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| format | Book |
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| id | DE-604.BV049459417 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:14:30Z |
| indexdate | 2024-07-10T10:07:50Z |
| institution | BVB |
| isbn | 9789811965630 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034805169 |
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| owner_facet | DE-29T |
| physical | xv, 186 Seiten 320 gr |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer |
| record_format | marc |
| series2 | Industrial and applied mathematics |
| spelling | Jayswal, Anurag Verfasser aut Multi-dimensional control problems robust approach Anurag Jayswal, Preeti, Savin Treanţӑ Singapore Springer [2022] xv, 186 Seiten 320 gr txt rdacontent n rdamedia nc rdacarrier Industrial and applied mathematics 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. 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 bicssc bisacsh Control theory Dynamical systems Mathematical optimization Mathematics Mathematical models System theory Hardcover, Softcover / Mathematik/Sonstiges Preeti Verfasser aut Treanţӑ, Savin Verfasser aut Erscheint auch als Online-Ausgabe 978-981-19-6561-6 |
| spellingShingle | Jayswal, Anurag Preeti Treanţӑ, Savin Multi-dimensional control problems robust approach bicssc bisacsh Control theory Dynamical systems Mathematical optimization Mathematics Mathematical models System theory |
| title | Multi-dimensional control problems robust approach |
| title_auth | Multi-dimensional control problems robust approach |
| title_exact_search | Multi-dimensional control problems robust approach |
| title_exact_search_txtP | Multi-dimensional control problems robust approach |
| title_full | Multi-dimensional control problems robust approach Anurag Jayswal, Preeti, Savin Treanţӑ |
| title_fullStr | Multi-dimensional control problems robust approach Anurag Jayswal, Preeti, Savin Treanţӑ |
| title_full_unstemmed | Multi-dimensional control problems robust approach Anurag Jayswal, Preeti, Savin Treanţӑ |
| title_short | Multi-dimensional control problems |
| title_sort | multi dimensional control problems robust approach |
| title_sub | robust approach |
| topic | bicssc bisacsh Control theory Dynamical systems Mathematical optimization Mathematics Mathematical models System theory |
| topic_facet | bicssc bisacsh Control theory Dynamical systems Mathematical optimization Mathematics Mathematical models System theory |
| work_keys_str_mv | AT jayswalanurag multidimensionalcontrolproblemsrobustapproach AT preeti multidimensionalcontrolproblemsrobustapproach AT treantăsavin multidimensionalcontrolproblemsrobustapproach |