American-Type Options: Stochastic Approximation Methods, Volume 2, Dmitrii S. Silvestrov
Автор: Shreve Название: Stochastic Calculus for Finance I ISBN: 0387401008 ISBN-13(EAN): 9780387401003 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;
Автор: Dmitrii S. Silvestrov Название: American-Type Options: Stochastic Approximation Methods, Volume 2 ISBN: 3110329689 ISBN-13(EAN): 9783110329681 Издательство: Walter de Gruyter Цена: 173490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book gives a systematical presentation of stochastic approximation methods for discrete time Markov price processes. Advanced methods combining backward recurrence algorithms for computing of option rewards and general results on convergence of stochastic space skeleton and tree approximations for option rewards are applied to a variety of models of multivariate modulated Markov price processes. The principal novelty of presented results is based on consideration of multivariate modulated Markov price processes and general pay-off functions, which can depend not only on price but also an additional stochastic modulating index component, and use of minimal conditions of smoothness for transition probabilities and pay-off functions, compactness conditions for log-price processes and rate of growth conditions for pay-off functions. The volume presents results on structural studies of optimal stopping domains, Monte Carlo based approximation reward algorithms, and convergence of American-type options for autoregressive and continuous time models, as well as results of the corresponding experimental studies.
Автор: Dmitrii S. Silvestrov Название: American-Type Options: Stochastic Approximation Methods, Volume 1 ISBN: 3110329832 ISBN-13(EAN): 9783110329834 Издательство: Walter de Gruyter Цена: 223090.00 T Наличие на складе: Невозможна поставка. Описание: This book gives a systematical presentation of stochastic approximation methods for models of American-type options with general pay-off functions for discrete time Markov price processes. It is the first volume of the comprehensive two volumes monograph.
Автор: H.J. Kushner; D.S. Clark Название: Stochastic Approximation Methods for Constrained and Unconstrained Systems ISBN: 0387903410 ISBN-13(EAN): 9780387903415 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book deals with a powerful and convenient approach to a great variety of types of problems of the recursive monte-carlo or stochastic approximation type. The approach, relating algorithm behavior to qualitative properties of deterministic or stochastic differ- ential equations, has advantages in algorithm conceptualiza- tion and design.
Автор: Christian K?chler Название: Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming ISBN: 3834809217 ISBN-13(EAN): 9783834809216 Издательство: Springer Рейтинг: Цена: 97820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Christian Kuchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees.
Автор: Micka?l D. Chekroun; Honghu Liu; Shouhong Wang Название: Approximation of Stochastic Invariant Manifolds ISBN: 3319124951 ISBN-13(EAN): 9783319124957 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations.
Автор: L. Ljung; G. Pflug; H. Walk Название: Stochastic Approximation and Optimization of Random Systems ISBN: 3764327332 ISBN-13(EAN): 9783764327330 Издательство: Springer Рейтинг: Цена: 23250.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: PHug) 7 Markovian stochastic optimization and stochastic approximation procedures 53 8 Asymptotic distributions 71 9 Stopping times 79 1O Applications of stochastic approximation methods 80 References for Part II 90 III Applications to adaptation algorithms (L.
Автор: Harold Kushner; G. George Yin Название: Stochastic Approximation and Recursive Algorithms and Applications ISBN: 1441918477 ISBN-13(EAN): 9781441918475 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. This second edition is a thorough revision, although the main features and structure remain unchanged.
Автор: Han-Fu Chen Название: Stochastic Approximation and Its Applications ISBN: 1441952284 ISBN-13(EAN): 9781441952288 Издательство: Springer Рейтинг: Цена: 83810.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Introduction.- Stochastic Evolution Equations in Hilbert Spaces.- Optimal Strong Error Estimates for Galerkin Finite Element Methods.- A Short Review of the Malliavin Calculus in Hilbert Spaces.- A Malliavin Calculus Approach to Weak Convergence.- Numerical Experiments.- Some Useful Variations of Gronwall's Lemma.- Results on Semigroups and their Infinitesimal Generators.- A Generalized Version of Lebesgue's Theorem.- References.- Index.
Автор: Xiu, Dongbin Название: Numerical methods for stochastic computations ISBN: 0691142122 ISBN-13(EAN): 9780691142128 Издательство: Wiley Рейтинг: Цена: 63360.00 T Наличие на складе: Поставка под заказ. Описание: Focusing on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). It illustrates through examples Basic gPC methods, and includes polynomial approximation theory and probability theory.
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