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Stochastic Programing

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Stochastic Programing—Applications in Finance, Energy, Planning and Logistics
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出版日:2012/11/28 作者:Horand I. Gassmann (EDT); Stein W. Wallace (EDT); William T. Ziemba (EDT)  出版社:World Scientific Pub Co Inc  裝訂:精裝
This book shows the breath and depth of stochastic programming applications. All the papers presented here involve optimization over the scenarios that represent possible future outcomes of the uncert
優惠價: 9 2754
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Stochastic Processes
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出版日:2015/06/17 作者:Emanuel Parzen  出版社:Dover Pubns  裝訂:平裝
Well-written and accessible, this classic introduction to stochastic processes and related mathematics is appropriate for advanced undergraduate students of mathematics with a knowledge of calculus an
優惠價: 9 682
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Stochastic Process Variation in Deep-Submicron CMOs ─ Circuits and Algorithms
75 折
出版日:2013/11/28 作者:Amir Zjajo  出版社:Springer Verlag  裝訂:精裝
One of the most notable features of nanometer scale CMOS technology is the increasing magnitude of variability of the key device parameters affecting performance of integrated circuits. The growth of variability can be attributed to multiple factors, including the difficulty of manufacturing control, the emergence of new systematic variation-generating mechanisms, and most importantly, the increase in atomic-scale randomness, where device operation must be described as a stochastic process. In addition to wide-sense stationary stochastic device variability and temperature variation, existence of non-stationary stochastic electrical noise associated with fundamental processes in integrated-circuit devices represents an elementary limit on the performance of electronic circuits.In an attempt to address these issues, Stochastic Process Variation in Deep-Submicron CMOS: Circuits and Algorithms offers unique combination of mathematical treatment of random process variation, electrical noise
優惠價: 75 4500
庫存:1
Optimal Control and Estimation
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出版日:1994/09/20 作者:Robert F. Stengel  出版社:Dover Pubns  裝訂:平裝
Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems.
優惠價: 9 1368
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INTRODUCTION TO PROBABILITY SECOND EDITION
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作者:DIMITRI P. BERTSEKAS; JOHN N. TSITSIKLIS  出版社:Athena Scientific  裝訂:平裝
An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is
優惠價: 1 1700
庫存:2
Introduction to Mathematical Portfolio Theory
75 折
出版日:2013/08/31 作者:Mark S. Joshi  出版社:Cambridge Univ Pr  裝訂:精裝
In this concise yet comprehensive guide to the mathematics of modern portfolio theory the authors discuss mean-variance analysis, factor models, utility theory, stochastic dominance, very long term investing, the capital asset pricing model, risk measures including VAR, coherence, market efficiency, rationality and the modelling of actuarial liabilities. Each topic is clearly explained with assumptions, mathematics, limitations, problems and solutions presented in turn. Joshi's trademark style of clarity and practicality is here brought to classical financial mathematics. The book is suitable for mathematically trained students in actuarial studies, business and economics as well as mathematics and finance, and it can be used for both self-study and as a course text. The authors' experience as both academics and practitioners brings clarity and relevance to the book, whilst ensuring that the limitations of models are highlighted.
優惠價: 75 2534
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Introduction to Stochastic Processes
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出版日:2013/02/20 作者:Erhan Cinlar  出版社:Dover Pubns  裝訂:平裝
" This clear presentation of the most fundamental models of random phenomena employs methods that recognize computer-related aspects of theory. Topics include probability spaces and random variables,
優惠價: 9 1197
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Stochastic Resonance ― From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization
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出版日:2012/10/25 作者:Mark D. McDonnell  出版社:Cambridge Univ Pr  裝訂:平裝
Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for over 30 years. Applications incorporating aspects of stochastic resonance may yet prove revolutionary in fields such as distributed sensor networks, nano-electronics, and biomedical prosthetics. Ideal for researchers in fields ranging from computational neuroscience through to electronic engineering, this book addresses in detail various theoretical aspects of stochastic quantization, in the context of the suprathreshold stochastic resonance effect. Initial chapters review stochastic resonance and outline some of the controversies and debates that have surrounded it. The book then discusses suprathreshold stochastic resonance, and its extension to more general models of stochastic signal quantization. Finally, it considers various constraints and tradeoffs in the performance of stochastic quantizers, before culminating with a chapter in the application of suprathreshold stochas
優惠價: 9 2690
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出版日:2008/10/27 作者:Mark D. McDonnell  出版社:Cambridge Univ Pr  裝訂:精裝
Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for over 30 years. Applications incorporating aspects of stochastic resonance may yet prove revolutionary in fields such as distributed sensor networks, nano-electronics, and biomedical prosthetics. Ideal for researchers in fields ranging from computational neuroscience through to electronic engineering, this book addresses in detail various theoretical aspects of stochastic quantization, in the context of the suprathreshold stochastic resonance effect. Initial chapters review stochastic resonance and outline some of the controversies and debates that have surrounded it. The book then discusses suprathreshold stochastic resonance, and its extension to more general models of stochastic signal quantization. Finally, it considers various constraints and tradeoffs in the performance of stochastic quantizers, before culminating with a chapter in the application of suprathreshold stochas
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出版日:1997/04/03 作者:Hiroshi Kunita  出版社:Cambridge Univ Pr  裝訂:平裝
The main purpose of this book is to give a systematic treatment of the theory of stochastic differential equations and stochastic flow of diffeomorphisms, and through the former to study the properties of stochastic flows. The classical theory was initiated by K. Itô and since then has been much developed. Professor Kunita's approach here is to regard the stochastic differential equation as a dynamical system driven by a random vector field, including thereby Itô's theory as a special case. The book can be used with advanced courses on probability theory or for self-study. The author begins with a discussion of Markov processes, martingales and Brownian motion, followed by a review of Itô's stochastic analysis. The next chapter deals with continuous semimartingales with spatial parameters, in order to study stochastic flow, and a generalisation of Ito's equation. Stochastic flows and their relation with this are generalised and considered in chapter 4. It is shown that solutions of a g
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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
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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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出版日:2018/11/30 作者:Simo Särkkä  出版社:Cambridge Univ Pr  裝訂:精裝
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical technology and, in particular, their use in methodologies such as filtering, smoothing, parameter estimation, and machine learning. It builds an intuitive hands-on understanding of what stochastic differential equations are all about, but also covers the essentials of Itô calculus, the central theorems in the field, and such approximation schemes as stochastic Runge–Kutta. Greater emphasis is given to solution methods than to analysis of theoretical properties of the equations. The book's practical approach assumes only prior understanding of ordinary differential equations. The numerous worked examples and end-of-chapter exercises include application-
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Applied Stochastic Differential Equations
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出版日:2018/11/30 作者:Simo Särkkä  出版社:Cambridge Univ Pr  裝訂:平裝
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical technology and, in particular, their use in methodologies such as filtering, smoothing, parameter estimation, and machine learning. It builds an intuitive hands-on understanding of what stochastic differential equations are all about, but also covers the essentials of Itô calculus, the central theorems in the field, and such approximation schemes as stochastic Runge–Kutta. Greater emphasis is given to solution methods than to analysis of theoretical properties of the equations. The book's practical approach assumes only prior understanding of ordinary differential equations. The numerous worked examples and end-of-chapter exercises include application-
優惠價: 9 1696
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出版日:2017/12/04 作者:Mishura  出版社:John Wiley & Sons Inc  裝訂:精裝
This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It combines classic topics such as construction of stochastic process
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出版日:2017/08/04 作者:Shigeyoshi Ogawa  出版社:Springer Verlag  裝訂:精裝
This book presents an elementary introduction to the theory of noncausal stochastic calculus that arises as a natural alternative to the standard theory of stochastic calculus founded in 1944 by Profe
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出版日:2017/05/05 作者:Valery I. Klyatskin  出版社:Springer Verlag  裝訂:精裝
This book addresses the processes of stochastic structure formation in two-dimensional geophysical fluid dynamics based on statistical analysis of Gaussian random fields, as well as stochastic structu
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出版日:2017/04/30 作者:Debasish Roy  出版社:Cambridge Univ Pr  裝訂:精裝
Targeted at graduate students, researchers and practitioners in the field of science and engineering, this book gives a self-contained introduction to a measure-theoretic framework in laying out the definitions and basic concepts of random variables and stochastic diffusion processes. It then continues to weave into a framework of several practical tools and applications involving stochastic dynamical systems. These include tools for the numerical integration of such dynamical systems, nonlinear stochastic filtering and generalized Bayesian update theories for solving inverse problems and a new stochastic search technique for treating a broad class of non-convex optimization problems. MATLAB® codes for all the applications are uploaded on the companion website.
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出版日:2017/04/20 作者:Dan Zhang  出版社:Productivity Press  裝訂:平裝
This book discusses advanced topics?such as?R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author will lead readers to merge mature and effecti
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Stochastic Porous Media Equations
90 折
出版日:2016/10/01 作者:Viorel Barbu; Giuseppe Da Prato; Michael Rockner  出版社:Springer Verlag  裝訂:平裝
Focusing on stochastic porous media equations, this book places an emphasis on existence theorems, asymptotic behavior and ergodic properties of the associated transition semigroup. Stochastic perturb
優惠價: 9 2430
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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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出版日:2015/08/13 作者:Devolder  出版社:John Wiley & Sons Inc  裝訂:精裝
This book presents basic stochastic processes, stochastic calculus including Levy processes on one hand, and Markov and Semi Markov models on the other. From the financial point of view, essential con
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出版日:2015/03/18 作者:Charlin Chester  出版社:Ny Research Pr  裝訂:精裝
This book on stochastic analysis is a valuable guide for mathematicians, economists, and students and researchers in the field of finance. In this book, some of the most crucial aspects of stochastic
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出版日:2015/03/18 作者:Charlin Chester  出版社:Ny Research Pr  裝訂:精裝
This book on stochastic analysis is a valuable guide for mathematicians, economists, and students and researchers in the field of finance. In this book, some of the most crucial aspects of stochastic
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Stochastic Dynamics and Irreversibility
90 折
出版日:2014/12/10 作者:Tom? T皛張a; T皛張a Tome Martins De Castro  出版社:Springer Verlag  裝訂:精裝
This textbook presents an exposition of stochastic dynamics and irreversibility. It comprises the principles of probability theory and the stochastic dynamics in continuous spaces, described by Langev
優惠價: 9 3240
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An Introduction to Computational Stochastic Pdes
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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
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出版日:2014/03/16 作者:Gopinath Kallianpur; P Sundar  出版社:OUP Academic UK  裝訂:精裝
Stochastic Analysis and Diffusion Processes presents a simple, mathematical introduction to Stochastic Calculus and its applications. The book builds the basic theory and offers a careful account of i
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Stochastic Analysis and Diffusion Processes
90 折
出版日:2014/02/06 作者:Gopinath Kallianpur; P. Sundar  出版社:OUP Academic UK  裝訂:平裝
Stochastic Analysis and Diffusion Processes presents a simple, mathematical introduction to Stochastic Calculus and its applications. The book builds the basic theory and offers a careful account of i
優惠價: 9 2448
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Real and Stochastic Analysis ― Current Trends
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出版日:2014/01/23 作者:Malempati M. Rao (EDT)  出版社:World Scientific Pub Co Inc  裝訂:精裝
This book presents the current status and research trends in Stochastic Analysis. Several new and emerging research areas are described in detail, highlighting the present outlook in Stochastic Analys
優惠價: 9 4743
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出版日:2013/11/21 作者:Kai Lai Chung; Ruth J. Williams  出版社:Springer Verlag  裝訂:平裝
A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applications. It is written in a style suitable
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An Introduction to Probability & Stochastic Processes
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出版日:2013/09/19 作者:James L. Melsa; Andrew P. Sage  出版社:Dover Pubns  裝訂:平裝
Detailed coverage of probability theory, random variables and their functions, stochastic processes, linear system response to stochastic processes, Gaussian and Markov processes, and stochastic diff
優惠價: 9 853
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Stochastic Tools in Mathematics and Science
90 折
出版日:2013/05/31 作者:Alexandre J. Chorin; Ole H. Hald  出版社:Springer Verlag  裝訂:精裝
"Stochastic Tools in Mathematics and Science" covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. The topics covered include conditional expectations, stochast
優惠價: 9 3150
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出版日:2012/12/22 作者:Alano Ancona; K. David Elworthy; Michel Emery; Hiroshi Kunita  出版社:Springer Verlag  裝訂:平裝
Kunita, H.:Stochastic differential equations and stochastic flows of diffeomorphisms.-Elworthy, D.: Geometric aspects of diffusions on manifolds.-Ancona, A.:Theorie du potential sur les graphs et le
優惠價: 1 3498
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出版日:2012/04/06 作者:Ken Sekimoto  出版社:Springer Verlag  裝訂:平裝
Stochastic Energetics by now commonly designates the emerging field that bridges the gap between stochastic dynamical processes and thermodynamics.Triggered by the vast improvements in spatio-temporal
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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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出版日:2011/12/12 作者:Atle Seierstad  出版社:Springer Verlag  裝訂:平裝
This book contains an introduction to three topics in stochastic control: discrete time stochastic control, i. e. , stochastic dynamic programming (Chapter 1), piecewise - terministic control problems
優惠價: 1 3498
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Stochastic Modelling for Systems Biology
90 折
出版日:2011/11/11 作者:Darren J. Wilkinson  出版社:CRC Press UK  裝訂:精裝
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic
優惠價: 9 3392
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Reversibility and Stochastic Networks
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出版日:2011/08/15 作者:F. P. Kelly  出版社:Cambridge Univ Pr  裝訂:平裝
This classic in stochastic network modelling broke new ground when it was published in 1979, and it remains a superb introduction to reversibility and its applications. The book concerns behaviour in equilibrium of vector stochastic processes or stochastic networks. When a stochastic network is reversible its analysis is greatly simplified, and the first chapter is devoted to a discussion of the concept of reversibility. The rest of the book focuses on the various applications of reversibility and the extent to which the assumption of reversibility can be relaxed without destroying the associated tractability. Now back in print for a new generation, this book makes enjoyable reading for anyone interested in stochastic processes thanks to the author's clear and easy-to-read style. Elementary probability is the only prerequisite and exercises are interspersed throughout.
優惠價: 9 2339
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出版日:2011/04/30 作者:Paul H. Bezandry; Toka Diagana  出版社:Springer Verlag  裝訂:精裝
This book lays the foundations for a theory on almost periodic stochastic processes and their applications to various stochastic differential equations, functional differential equations with delay, p
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出版日:2010/12/07 作者:Malempati M. Rao  出版社:Springer Verlag  裝訂:平裝
Stochastic Processes: General Theory starts with the fundamental existence theorem of Kolmogorov, together with several of its extensions to stochastic processes. It treats the function theoretical
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