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Item Details
Title: MATHEMATICAL CONTROL THEORY AND FINANCE
By: Andrey Sarychev (Editor), Albert N. Shiryaev (Editor), Manuel Guerra (Editor)
Format: Paperback

List price: £119.99


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ISBN 10: 3642089089
ISBN 13: 9783642089084
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 15 October, 2010
Edition: Softcover reprint of hardcover 1st ed. 2008
Pages: 420
Description: This book highlights recent developments in mathematical control theory and its applications to finance. It presents a collection of original contributions by distinguished scholars, addressing a large spectrum of problems and techniques.
Synopsis: Control theory provides a large set of theoretical and computational tools with applications in a wide range of ?elds, running from "pure" branches of mathematics, like geometry, to more applied areas where the objective is to ?nd solutions to "real life" problems, as is the case in robotics, control of industrial processes or ?nance. The "high tech" character of modern business has increased the need for advanced methods. These rely heavily on mathematical techniques and seem indispensable for competitiveness of modern enterprises. It became essential for the ?nancial analyst to possess a high level of mathematical skills. C- versely, the complex challenges posed by the problems and models relevant to ?nance have, for a long time, been an important source of new research topics for mathematicians. The use of techniques from stochastic optimal control constitutes a well established and important branch of mathematical ?nance. Up to now, other branches of control theory have found comparatively less application in ?n- cial problems. To some extent, deterministic and stochastic control theories developed as di?erent branches of mathematics. However, there are many points of contact between them and in recent years the exchange of ideas between these ?elds has intensi?ed. Some concepts from stochastic calculus (e.g., rough paths) havedrawntheattentionofthedeterministiccontroltheorycommunity.Also, some ideas and tools usual in deterministic control (e.g., geometric, algebraic or functional-analytic methods) can be successfully applied to stochastic c- trol.
Illustrations: 8 Tables, black and white; XIII, 420 p.
Publication: Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Returns: Returnable
Some other items by this author:
CHANGE OF TIME AND CHANGE OF MEASURE
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CONVOLUTION-LIKE STRUCTURES, DIFFERENTIAL OPERATORS AND DIFFUSION PROCESSES
ESSENTIALS OF STOCHASTIC FINANCE: FACTS, MODELS, THEORY (HB)
LIMIT THEOREMS FOR STOCHASTIC PROCESSES (HB)
LIMIT THEOREMS FOR STOCHASTIC PROCESSES (PB)
MATHEMATICAL CONTROL THEORY AND FINANCE (HB)
OPTIMAL STOPPING AND FREE BOUNDARY PROBLEMS (HB)
OPTIMAL STOPPING RULES (PB)
PROBABILITY (HB)
PROBABILITY (HB)
PROBABILITY (HB)
PROBABILITY (PB)
PROBABILITY THEORY (HB)
PROBABILITY THEORY (PB)
PROBABILITY-1 (HB)
PROBABILITY-1 (PB)
PROBABILITY-2
PROBLEMS IN PROBABILITY (HB)
PROBLEMS IN PROBABILITY (PB)
PROKHOROV AND CONTEMPORARY PROBABILITY THEORY (HB)
PROKHOROV AND CONTEMPORARY PROBABILITY THEORY (PB)
STATISTICAL EXPERIMENTS AND DECISION, ASYMPTOTIC THEORY (HB)
STATISTICS & CONTROL OF RANDOM PROCESSES (PB)
STATISTICS OF RANDOM PROCESSES (HB)
STATISTICS OF RANDOM PROCESSES (PB)
STATISTICS OF RANDOM PROCESSES II (HB)
STATISTICS OF RANDOM PROCESSES II (PB)
STOCHASTIC DISORDER PROBLEMS (HB)
STOCHASTIC FINANCE (HB)
STOCHASTIC FINANCE (PB)

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