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170324 ||| eng |
| 020 |
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|a 9781139087353
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| 050 |
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4 |
|a QA402.37
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| 100 |
1 |
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|a Morimoto, Hiroaki
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| 245 |
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0 |
|a Stochastic control and mathematical modeling
|b applications in economics
|c Hiroaki Morimoto
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| 246 |
3 |
1 |
|a Stochastic Control & Mathematical Modeling
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| 260 |
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|a Cambridge
|b Cambridge University Press
|c 2010
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| 300 |
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|a xiii, 325 pages
|b digital
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| 505 |
0 |
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|a Stochastic calculus and optimal control theory -- Foundations of stochastic calculus -- Stochastic differential equations: weak formulation -- Dynamic programming -- Viscosity solutions of Hamilton-Jacobi-Bellman equations -- Classical solutions of Hamilton-Jacobi-Bellman equations -- Applications to mathematical models in economics -- Production planning and inventory -- Optimal consumption/investment models -- Optimal exploitation of renewable resources -- Optimal consumption models in economic growth -- Optimal pollution control with long-run average criteria -- Optimal stopping problems -- Investment and exit decisions -- Appendices -- A. Dini's theorem -- B. The Stone-Weierstrass theorem -- C. The Riesz representation theorem -- D. Rademacher's theorem -- E. Vitali's covering theorem -- F. The area formula -- G. The Brouwer fixed point theorem -- H. The Ascoli-Arzelà theorem
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| 653 |
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|a Stochastic control theory
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| 653 |
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|a Optimal stopping (Mathematical statistics)
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| 653 |
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|a Stochastic differential equations
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b CBO
|a Cambridge Books Online
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| 490 |
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|a Encyclopedia of mathematics and its applications
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| 856 |
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|u https://doi.org/10.1017/CBO9781139087353
|x Verlag
|3 Volltext
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| 082 |
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|a 629.8312
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| 520 |
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|a This is a concise and elementary introduction to stochastic control and mathematical modelling. This book is designed for researchers in stochastic control theory studying its application in mathematical economics and those in economics who are interested in mathematical theory in control. It is also a good guide for graduate students studying applied mathematics, mathematical economics, and non-linear PDE theory. Contents include the basics of analysis and probability, the theory of stochastic differential equations, variational problems, problems in optimal consumption and in optimal stopping, optimal pollution control, and solving the Hamilton-Jacobi-Bellman (HJB) equation with boundary conditions. Major mathematical prerequisites are contained in the preliminary chapters or in the appendix so that readers can proceed without referring to other materials
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