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Stochastic Methods

37903
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Stochastic Methods in Asset Pricing
79 折
出版日:2017/08/25 作者:Andrew Lyasoff  出版社:Mit Pr  裝訂:精裝
This book presents a self-contained, comprehensive, and yet concise and condensed overview of the theory and methods of probability, integration, stochastic processes, optimal control, and their conne
優惠價: 79 3555
無庫存
出版日:2013/09/30 作者:Sergio Chibbaro (EDT); Jean-pierre Minier (EDT)  出版社:Springer Verlag  裝訂:精裝
Since their first introduction in natural sciences through the work of Einstein on Brownian motion in 1905 and further works, in particular by Langevin, Smoluchowski and others, stochastic processes h
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出版日:2009/03/16 作者:Crispin Gardiner  出版社:Springer Verlag  裝訂:精裝
This classic text and reference collects the many formulae and methods that can be found in the scientific literature on stochastic methods. This fourth edition has been thoroughly updated and restruc
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Stochastic Methods in Quantum Mechanics
滿額折
出版日:2005/12/10 作者:Stanley P. Gudder  出版社:Dover Pubns  裝訂:平裝
This introductory treatment surveys useful stochastic methods and techniques in quantum physics, functional analysis, probability theory, communications, and electrical engineering. Starting with a hi
優惠價: 9 511
無庫存
Stochastic Methods in Advanced Scientific Computing
90 折
出版日:2018/03/15 作者:Kurt Langfeld; Biagio Lucini; Massimo D'elia  出版社:Chapman & Hall  裝訂:精裝
Stochastic phenomena play a central role in various scientific disciplines and underpin applications in popular industrial sectors. The purpose of the book is to introduce the reader to advanced conce
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出版日:2009/11/30 作者:Carlo Laing (EDT); Gabriel J. Lord (EDT)  出版社:Oxford Univ Press USA  裝訂:精裝
Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large amounts of neurophysiological data, and ad
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Stochastic Methods For Pension Funds
90 折
出版日:2012/02/06 作者:De Volder  出版社:John Wiley & Sons Inc  裝訂:平裝
Quantitative finance has become these last years a extraordinary field of research and interest as well from an academic point of view as for practical applications. At the same time, pension issu
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出版日:2009/01/16 作者:Crispin Gardiner  出版社:Springer Verlag  裝訂:平裝
In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valua
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出版日:2016/07/12 作者:Guglielmo D'amico; Jacques Janssen; Raimondo Manca  出版社:Iste;Hermes Science Pub  裝訂:精裝
As Non-Life Insurance models are strictly connected with stochastic processes, the main aim of this book is to show how classical and recent advanced stochastic models can be used to improve the stoch
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出版日:2022/03/30 作者:Jacques Janssen  出版社:ISTE Ltd  裝訂:精裝
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出版日:2018/03/02 作者:Seifedine Kadry  出版社:Engineering Science Reference  裝訂:精裝
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Image Processing and Analysis:Variational, PDE, Wavelet, and Stochastic Methods
90 折
出版日:2005/09/01 作者:Tony Chan ; Jianhong Shen  出版社:Cambridge University Press  裝訂:平裝
Chan (mathematics, University of California) and Shen (mathematics, University of Minnesota) develop the mathematical foundations of modern image processing and low-level computer vision. They first i
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Radio-Frequency Human Exposure Assessment: From Deterministic To Stochastic Methods
90 折
出版日:2016/03/04 作者:Wiart  出版社:John Wiley & Sons Inc  裝訂:精裝
Nowadays approximately 6 billion people use a mobile phone and they now take a central position within our daily lives. The 1990s saw a tremendous increase in the use of wireless systems and the democ
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出版日:2004/10/16 作者:C. W. Gardiner; P. Zoller  出版社:Springer Verlag  裝訂:精裝
This book offers a systematic and comprehensive exposition of the quantum stochastic methods that have been developed in the field of quantum optics. It includes new treatments of photodetection, quan
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出版日:2004/10/16 作者:Crispin Gardiner; Peter Zoller  出版社:Springer Verlag  裝訂:平裝
This book offers a systematic and comprehensive exposition of the quantum stochastic methods that have been developed in the field of quantum optics. It includes new treatments of photodetection, quan
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出版日:2024/04/05 作者:Rosario Toscano  出版社:Springer Nature  裝訂:精裝
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出版日:2016/02/11 作者:Andrei Kramer  出版社:Logos Verlag Berlin  裝訂:平裝
優惠價: 1 3180
無庫存
出版日:2023/09/20 作者:Bo Yang  出版社:Elsevier  裝訂:平裝
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出版日:2022/08/17 作者:Albert N. Shiryaev(EDI)  出版社:Springer Nature  裝訂:平裝
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出版日:2021/09/11 作者:Albert N. Shiryaev(EDI)  出版社:Springer Nature  裝訂:精裝
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Statistical Methods for Stochastic Differential Equations
90 折
出版日:2012/03/30 作者:Mathieu Kessler; Alexander Lindner; Michael Sorensen  出版社:Chapman & Hall  裝訂:精裝
The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic diffe
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Numerical Methods For Stochastic Processes
90 折
出版日:1993/12/17 作者:Bouleau  出版社:John Wiley & Sons Inc  裝訂:精裝
Gives greater rigor to numerical treatments of stochastic models. Contains Monte Carlo and quasi-Monte Carlo techniques, simulation of major stochastic procedures, deterministic methods adapted to Mar
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Econometric Analysis of Stochastic Dominance ― Concepts, Methods, Tools, and Applications
90 折
出版日:2018/10/31 作者:Yoon-Jae Whang  出版社:Cambridge Univ Pr  裝訂:精裝
This book offers an up-to-date, comprehensive coverage of stochastic dominance and its related concepts in a unified framework. A method for ordering probability distributions, stochastic dominance has grown in importance recently as a way to measure comparisons in welfare economics, inequality studies, health economics, insurance wages, and trade patterns. Whang pays particular attention to inferential methods and applications, citing and summarizing various empirical studies in order to relate the econometric methods with real applications and using computer codes to enable the practical implementation of these methods. Intuitive explanations throughout the book ensure that readers understand the basic technical tools of stochastic dominance.
優惠價: 9 3131
無庫存
出版日:2013/11/30 作者:Dmitrii S Silvestrov  出版社:De Gruyter  裝訂:精裝
Silvestrov systematically presents stochastic approximation methods for models of American-type options with general pay-off functions for discrete Markov log-price processes. The discrete-time multiv
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出版日:2013/09/30 作者:Vasile Dragan; Toader Morozan; Adrian-mihail Stoica  出版社:Springer Verlag  裝訂:精裝
This second edition of Mathematical Methods in the Robust Control of Linear Stochastic Systems includes a large number of recent results in the control of linear stochastic systems. More specifically,
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Numerical Methods for Stochastic Computations ─ A Spectral Method Approach
90 折
出版日:2010/07/01 作者:Dongbin Xiu  出版社:Princeton Univ Pr  裝訂:精裝
The first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial c
優惠價: 9 2428
無庫存
Stochastic Modelling of Reaction-Diffusion Processes
90 折
出版日:2019/12/31 作者:Radek Erban  出版社:Cambridge Univ Pr  裝訂:平裝
This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors discuss the essence of mathematical methods which appear (under different names) in a number of interdisciplinary scientific fields bridging mathematics and computations with biology and chemistry. The book can be used both for self-study and as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics. New mathematical approaches are explained using simple examples of biological models, which range in size from simulations of small biomolecules to groups of animals. The book starts with stochastic modelling of chemical reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio-temporal models are then studied, including models of diffusion and stochastic reaction-diffusion modelling. The methods covered include molecula
優惠價: 9 2213
無庫存
Stochastic Modelling of Reaction–diffusion Processes
90 折
出版日:2019/12/31 作者:Radek Erban  出版社:Cambridge Univ Pr  裝訂:精裝
This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors discuss the essence of mathematical methods which appear (under different names) in a number of interdisciplinary scientific fields bridging mathematics and computations with biology and chemistry. The book can be used both for self-study and as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics. New mathematical approaches are explained using simple examples of biological models, which range in size from simulations of small biomolecules to groups of animals. The book starts with stochastic modelling of chemical reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio-temporal models are then studied, including models of diffusion and stochastic reaction-diffusion modelling. The methods covered include molecula
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Numerical Methods for Stochastic Partial Differential Equations With White Noise
90 折
出版日:2017/09/12 作者:Zhongqiang Zhang; George Em Karniadakis  出版社:Springer Verlag  裝訂:平裝
This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation. The book begins with some motivational and background
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Stochastic Analysis for Finance With Simulations
90 折
出版日:2016/07/22 作者:Geon Ho Choe  出版社:Springer Verlag  裝訂:平裝
This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods. Topics covered are stochastic calculus, option pricing, optimal po
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Molecular Dynamics ― With Deterministic and Stochastic Numerical Methods
90 折
出版日:2015/06/02 作者:Ben Leimkuhler; Charles Matthews  出版社:Springer Verlag  裝訂:精裝
This book describes the mathematical underpinnings of algorithms used for molecular dynamics simulation, including both deterministic and stochastic numerical methods. Molecular dynamics is one of the
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出版日:2014/10/31 作者:Dmitrii S. Silvestrov  出版社:De Gruyter  裝訂:精裝
The second volume of this systematical presentation of stochastic approximation methods for models of American-type options presents results on structural studies of optimal stopping domains, Monte Ca
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An Introduction to Computational Stochastic Pdes
滿額折
出版日:2014/04/30 作者:Gabriel Lord; Catherine E. Powell; Tony Shardlow  出版社:Cambridge Univ Pr  裝訂:平裝
"This book gives a comprehensive introduction to numerical methods and analysis of stochastic processes, random fields and stochastic differential equations, and offers graduate students and researche
優惠價: 1 3849
無庫存
Dynamic and Stochastic Multi-Project Planning
90 折
出版日:2014/03/31 作者:Philipp Melchiors  出版社:Springer Verlag  裝訂:平裝
This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the analysis of dynamic-stochastic multi-project environments this book
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