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Record Nr. |
UNINA9910300102703321 |
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Autore |
Martínez-Frutos Jesús |
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Titolo |
Optimal Control of PDEs under Uncertainty : An Introduction with Application to Optimal Shape Design of Structures / / by Jesús Martínez-Frutos, Francisco Periago Esparza |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (138 pages) |
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Collana |
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SpringerBriefs in Mathematics, , 2191-8198 |
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Disciplina |
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Soggetti |
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Partial differential equations |
Applied mathematics |
Engineering mathematics |
Vibration |
Dynamical systems |
Dynamics |
Mechanics |
Mechanics, Applied |
Calculus of variations |
Probabilities |
Partial Differential Equations |
Mathematical and Computational Engineering |
Vibration, Dynamical Systems, Control |
Solid Mechanics |
Calculus of Variations and Optimal Control; Optimization |
Probability Theory and Stochastic Processes |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1 Introduction -- 2 Mathematical Preliminaires -- 3 Mathematical Analysis of Optimal Control Problems Under Uncertainty -- 4 Numerical Resolution of Robust Optimal Control Problems -- 5 Numerical Resolution of Risk Averse Optimal Control Problems -- 6 Structural Optimization Under Uncertainty -- 7 Miscellaneous Topics and Open |
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Sommario/riassunto |
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This book provides a direct and comprehensive introduction to theoretical and numerical concepts in the emerging field of optimal control of partial differential equations (PDEs) under uncertainty. The main objective of the book is to offer graduate students and researchers a smooth transition from optimal control of deterministic PDEs to optimal control of random PDEs. Coverage includes uncertainty modelling in control problems, variational formulation of PDEs with random inputs, robust and risk-averse formulations of optimal control problems, existence theory and numerical resolution methods. The exposition focusses on the entire path, starting from uncertainty modelling and ending in the practical implementation of numerical schemes for the numerical approximation of the considered problems. To this end, a selected number of illustrative examples are analysed in detail throughout the book. Computer codes, written in MatLab, are provided for all these examples. This book is adressed to graduate students and researches in Engineering, Physics and Mathematics who are interested in optimal control and optimal design for random partial differential equations. |
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