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Stochastic Programing

1809
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出版日:2014/02/26 作者:Eric Moulines  出版社:Taylor & Francis  裝訂:精裝
This text emphasizes nonlinear models for a course in time series analysis. After introducing stochastic processes, Markov chains, Poisson processes, and ARMA models, the authors cover functional auto
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A Graduate Course in Probability
滿額折
出版日:2014/02/20 作者:Howard G. Tucker  出版社:Dover Pubns  裝訂:平裝
"Suitable for a graduate course in analytic probability, this text requires only a limited background in real analysis. Topics include probability spaces and distributions, stochastic independence, ba
優惠價: 9 580
無庫存
Weak Convergence and Its Applications
滿額折
出版日:2014/02/01 作者:Zhengyan Lin  出版社:World Scientific Pub Co Inc  裝訂:精裝
Weak convergence of stochastic processes is one of most important theories in probability theory. Not only probability experts but also more and more statisticians are interested in it. In the study o
優惠價: 9 2907
無庫存
Fluctuations of Levy Processes With Applications ― Introductory Lectures
90 折
出版日:2014/01/31 作者:Andreas E. Kyprianou  出版社:Springer Verlag  裝訂:平裝
Levy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around which a robust mathematical theory exists. Their application appears in the
優惠價: 9 2925
無庫存
出版日:2014/01/31 作者:Masayuki Matsui  出版社:Springer Verlag  裝訂:精裝
Expanding on the author’s previous book, this volume details his recent work using a stochastic/intelligent medium approach to meet the need for systematic, real-time management decision-making in a c
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Basic Concepts in Computational Physics
90 折
出版日:2013/12/30 作者:Benjamin A. Stickler; Ewald Schachinger  出版社:Springer Verlag  裝訂:精裝
This book presents both deterministic methods and stochastic methods with numerous applications from physics. Coverage includes numerical differentiation and integration, monte-carlo (MC) methods, dat
優惠價: 9 2430
無庫存
LTvy Processes and Infinitely Divisible Distributions
滿額折
出版日:2013/12/23 作者:Ken-iti Sato  出版社:Cambridge Univ Pr  裝訂:平裝
Lévy processes are rich mathematical objects and constitute perhaps the most basic class of stochastic processes with a continuous time parameter. This book is intended to provide the reader with comprehensive basic knowledge of Lévy processes, and at the same time serve as an introduction to stochastic processes in general. No specialist knowledge is assumed and proofs are given in detail. Systematic study is made of stable and semi-stable processes, and the author gives special emphasis to the correspondence between Lévy processes and infinitely divisible distributions. All serious students of random phenomena will find that this book has much to offer. Now in paperback, this corrected edition contains a brand new supplement discussing relevant developments in the area since the book's initial publication.
優惠價: 9 3568
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出版日:2013/12/16 作者:Juan M. Morales; Antonio J. Conejo; Henrik Madsen; Pierre Pinson; Marco Zugno  出版社:Springer Verlag  裝訂:精裝
This addition to the ISOR series addresses the analytics of the operations of electric energy systems with increasing penetration of stochastic renewable production facilities, such as wind- and solar
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出版日:2013/12/10 作者:Vlastimil Krivan (EDT); Georges Zaccour (EDT)  出版社:Springer Verlag  裝訂:精裝
This contributed volume focuses on aspects of dynamic game theory including differential games, evolutionary games, and stochastic games. It covers theoretical developments, algorithmic methods, and a
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Analysis for Diffusion Processes on Riemannian Manifolds
滿額折
出版日:2013/11/20 作者:Feng-yu Wang  出版社:World Scientific Pub Co Inc  裝訂:精裝
Stochastic analysis on Riemannian manifolds without boundary has been well established. However, the analysis for reflecting diffusion processes and sub-elliptic diffusion processes is far from comple
優惠價: 9 4223
無庫存
出版日:2013/10/31 作者:Matthew N. O. Sadiku; Sarhan M. Musa  出版社:Textstream  裝訂:精裝
This book covers performance analysis of computer networks, and begins by providing the necessary background in probability theory, random variables, and stochastic processes. Queuing theory and sim
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出版日:2013/10/31 作者:Guglielmo Paoletti  出版社:Springer Verlag  裝訂:精裝
The model investigated in this work, a particular cellular automaton with stochastic evolution, was introduced as the simplest case of self-organized-criticality, that is, a dynamical system which sho
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出版日:2013/10/30 作者:Alexander Dmitry Kolesnik; Nikita Ratanov  出版社:Springer Verlag  裝訂:平裝
The telegraph process is a useful mathematical model for describing the stochastic motion of a particle that moves with finite speed on the real line and alternates between two possible directions of
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出版日:2013/09/20 作者:Ibe  出版社:John Wiley & Sons Inc  裝訂:平裝
"Featuring an introduction to stochastic calculus, this book uniquely blends diffusion equations and random walk theory and provides an interdisciplinary approach by including numerous practical examp
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Principles of Artificial Neural Networks
滿額折
出版日:2013/09/19 作者:Daniel Graupe  出版社:World Scientific Pub Co Inc  裝訂:精裝
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in med
優惠價: 9 3488
無庫存
出版日:2013/08/31 作者:Alberto D'onofrio (EDT)  出版社:Springer Verlag  裝訂:精裝
??Since the parameters in dynamical systems of biological interest are inherently positive and bounded, bounded noises are a natural way to model the realistic stochastic fluctuations of a biological
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出版日:2013/08/23 作者:Rouah  出版社:John Wiley & Sons Inc  裝訂:平裝
Tap into the power of the most popular stochastic volatility model for pricing equity derivativesSince its introduction in 1993, the Heston model has become a popular model for pricing equity deriva
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出版日:2013/08/14 作者:Michael Baron  出版社:Taylor & Francis  裝訂:精裝
Presenting probability and statistical methods, simulation techniques, and modeling tools, this book helps students solve problems and make optimal decisions in uncertain conditions, select stochastic
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出版日:2013/07/11 作者:Sericola  出版社:John Wiley & Sons Inc  裝訂:平裝
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication network
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出版日:2013/06/30 作者:Piotr Jaworski (EDT); Fabrizio Durante (EDT); Wolfgang Karl HSrdle (EDT)  出版社:Springer Verlag  裝訂:平裝
Copulas are mathematical objects that fully capture the dependence structure among random variables and hence offer great flexibility in building multivariate stochastic models. Since their introducti
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出版日:2013/06/28 作者:Haghighi  出版社:John Wiley & Sons Inc  裝訂:精裝
"This book features a collection of topics that are used in stochastic processes and, particularly, in queueing theory. Differential equations, difference equations, and Markovian queues (as they rela
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Introduction to Heavy-tailed and Subexponential Distributions
90 折
出版日:2013/06/04 作者:S. Foss  出版社:Springer Verlag  裝訂:精裝
Heavy-tailed probability distributions are an important component in the modeling of many stochastic systems. They are frequently used to accurately model inputs and outputs of computer and data netwo
優惠價: 9 2700
無庫存
出版日:2013/06/03 作者:Moshe Haviv  出版社:Springer Verlag  裝訂:精裝
Queueing theory (the mathematical theory of waiting lines in all its configurations) continues to be a standard major area of operations research on the stochastic side. Therefore, universities with
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出版日:2013/05/30 作者:Haas  出版社:John Wiley & Sons Inc  裝訂:精裝
Explores computer-intensive probability and statistics for ecosystem management decision makingSimulation is an accessible way to explain probability and stochastic model behavior to beginners. This b
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出版日:2013/05/28 作者:Brigitte D'andrTa-novel; Michel De Lara  出版社:Springer Verlag  裝訂:精裝
This book covers a large spectrum of dynamical models in engineering: discrete and continuous time, deterministic and stochastic, state space and input-output systems. It includes proofs, exercises, a
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出版日:2013/02/28 作者:Shaun Lovejoy; Daniel Schertzer  出版社:Cambridge Univ Pr  裝訂:精裝
Advances in nonlinear dynamics, especially modern multifractal cascade models, allow us to investigate the weather and climate at unprecedented levels of accuracy. Using new stochastic modelling and d
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出版日:2013/02/28 作者:Chong Gu  出版社:Springer Verlag  裝訂:精裝
Nonparametric function estimation with stochastic data, otherwiseknown as smoothing, has been studied by several generations ofstatisticians. Assisted by the ample computing power in today'sservers, d
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出版日:2013/01/31 作者:Ehsan Goodarzi; Mina Ziaei; Lee Teang Shui  出版社:Springer Verlag  裝訂:精裝
This book presents the basics of stochastic, risk and uncertainty analysis and random sampling techniques using practical examples, solved step by step. Includes appropriate Excel functions as an alte
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出版日:2012/12/31 作者:Jean-Pierre Aubin; Pierre Bernhard; Jacob C. Engwerda; Vassili Kolokoltsov; Berend Roorda  出版社:Springer Verlag  裝訂:精裝
Toward the late 1990s, several research groups independently began developing new, related theories in mathematical finance. These theories did away with the standard stochastic geometric diffusion “S
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出版日:2012/12/24 作者:Aad Vaart; Jon Wellner  出版社:Springer Verlag  裝訂:平裝
This book explores weak convergence theory and empirical processes and their applications to many applications in statistics. Part one reviews stochastic convergence in its various forms. Part two off
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出版日:2012/12/20 作者:Ivan Nourdin  出版社:Springer Verlag  裝訂:精裝
Fractional Brownian motion (fBm) is a stochastic process which deviates significantly from Brownian motion and semimartingales, and others classically used in probability theory. As a centered Gaussia
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出版日:2012/12/14 作者:Laszlo Lakatos; Laszlo Szeidl; Miklos Telek  出版社:Springer Verlag  裝訂:精裝
Opening with an introduction to probability theory and stochastic processes, this book shows how phase type distributions, Markov arrival processes and quasi-birth death processes apply in queuing mod
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出版日:2012/11/22 作者:Nathan Balke (EDT); Fabio Canova (EDT); Fabio Milani (EDT); Mark Wynne (EDT)  出版社:Emerald Group Pub Ltd  裝訂:精裝
This volume of Advances in Econometrics is devoted to dynamic stochastic general equilibrium (DSGE) models. The editors (of Southern Methodist U., the U. of California, and the Federal Reserve Bank of
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出版日:2012/11/16 作者:Stephen J. Kirkland; Michael Neumann  出版社:Taylor & Francis  裝訂:精裝
Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes, graph theory, electrical networks, and demographic models. Group
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出版日:2012/10/29 作者:Onesimo Hernandez-Lerma  出版社:Springer Verlag  裝訂:平裝
This book is concerned with a class of discrete-time stochastic control processes known as controlled Markov processes (CMP's), also known as Markov decision processes or Markov dynamic programs. Star
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All the research areas of Numerical Analysis and Computational Mathematics (Numerical ODEs, Numerical PDEs (inc. BVPs), Scientific Computing and Algorithms, Stochastic Differential Equations, Approxim
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Noncommutative Probability and Random Matrices at Saint-flour
90 折
出版日:2012/10/15 作者:Philippe Biane; Alice Guionnet; Dan-virgil Voiculescu  出版社:Springer Verlag  裝訂:平裝
Biane, Philippe: Non-commutative stochastic calculus.-Voiculescu, Dan-Virgil: Lectures on free probability.- Guionnet, Alice: Large random matrices: Lectures on macroscopic asymptotics.?
優惠價: 9 2925
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出版日:2012/09/13 作者:Simon G. Fabri; Visakan Kadirkamanathan  出版社:Springer Verlag  裝訂:平裝
Unique in its systematic approach to stochastic systems, this book presents a wide range of techniques that lead to novel strategies for effecting intelligent control of complex systems that are typic
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出版日:2012/08/30 作者:Eliane Regina Rodrigues; Jorge Alberto Achcar  出版社:Springer Verlag  裝訂:平裝
?In this brief we consider some stochastic models that may be used to study problems related to environmental matters, in particular, air pollution. The impact of exposure to air pollutants on people
優惠價: 1 2498
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出版日:2012/08/15 作者:Javier Faulin (EDT); Angel A. Juan (EDT); Scott E. Grasman (EDT); Michael J. Fry (EDT)  出版社:Taylor & Francis  裝訂:精裝
In real-life scenarios, service management involves complex decision-making processes usually affected by random or stochastic variables. Under such uncertain conditions, the development and use of ro
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