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1. |
Record Nr. |
UNINA9910484349303321 |
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Autore |
Sun Jingrui |
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Titolo |
Stochastic Linear-Quadratic Optimal Control Theory: Open-Loop and Closed-Loop Solutions / / by Jingrui Sun, Jiongmin Yong |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (xii, 130 pages) |
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Collana |
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SpringerBriefs in Mathematics, , 2191-8201 |
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Disciplina |
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Soggetti |
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Mathematical optimization |
Calculus of variations |
Probabilities |
System theory |
Control theory |
Game theory |
Calculus of Variations and Optimization |
Probability Theory |
Systems Theory, Control |
Game Theory |
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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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Note generali |
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Nota di contenuto |
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1 introduction -- 2 Linear-Quadratic Optimal Controls in Finite Horizons -- 3 Linear-Quadratic Optimal Controls in Infinite Horizons -- 4 Linear Algebra and BSDEs. |
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Sommario/riassunto |
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This book gathers the most essential results, including recent ones, on linear-quadratic optimal control problems, which represent an important aspect of stochastic control. It presents the results in the context of finite and infinite horizon problems, and discusses a number of new and interesting issues. Further, it precisely identifies, for the first time, the interconnections between three well-known, relevant issues – the existence of optimal controls, solvability of the optimality system, and solvability of the associated Riccati equation. Although the |
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content is largely self-contained, readers should have a basic grasp of linear algebra, functional analysis and stochastic ordinary differential equations. The book is mainly intended for senior undergraduate and graduate students majoring in applied mathematics who are interested in stochastic control theory. However, it will also appeal to researchers in other related areas, such as engineering, management, finance/economics and the social sciences. |
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