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Stochastic Control and Mathematical Modeling: Applications in Economics (Encyclopedia of Mathematics and its Applications): 131 (Encyclopedia of Mathematics and its Applications, Series Number 131) - Hardcover
Book 131 of 188: Encyclopedia of Mathematics and its Applications
Synopsis
This is an introduction to stochastic control and mathematical modeling designed for researchers and graduate students in applied mathematics, mathematical economics, and non-linear PDE theory.
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About the Author
Hiroaki Morimoto is a Professor in Mathematics at the Graduate School of Science and Engineering at Ehime University. His research interests include stochastic control, mathematical economics and finance and insurance applications, and the viscosity solution theory.
"About this title" may belong to another edition of this title.
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Encyclopedia of Mathematics and Its Applications: Stochastic Control and Mathematical Modeling: Applications in Economics
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Stochastic Control and Mathematical Modeling : Applications in Economics
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Stochastic Control and Mathematical Modeling: Applications in Economics (Encyclopedia of Mathematics and its Applications, Series Number 131)
Published by
Cambridge University Press, 2010
ISBN 10: 0521195039
ISBN 13: 9780521195034
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Stochastic Control and Mathematical Modeling: Applications in Economics (Encyclopedia of Mathematics and its Applications, Series Number 131)
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Stochastic Control and Mathematical Modeling : Applications in Economics
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Stochastic Control and Mathematical Modeling: Applications in Economics
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Stochastic Control and Mathematical Modeling : Applications in Economics
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Stochastic Control and Mathematical Modeling (Applications in Economics)
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Stochastic Control and Mathematical Modeling : Applications in Economics
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Stochastic Control and Mathematical Modeling (Hardcover)
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Hardcover. Condition: new. Hardcover. 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. This concise and elementary introduction to stochastic control and mathematical modelling is designed for researchers in stochastic control theory studying its application in mathematical economics, and for interested economics researchers. Also suitable for graduate students in applied mathematics, mathematical economics, and non-linear PDE theory. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521195034
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