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Stochastic differential equations

Most popular at the top

  • Stochastic Stability of Differential Equationsby Rafail Khasminskii

    Springer 2011; US$ 129.00

    Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure stability, and for the existence of stationary and periodic... more...

  • Stochastic Differential Equations and Processesby Mounir Zili; Darya V. Filatova

    Springer 2011; US$ 124.00

    Selected papers submitted by participants of the international Conference "Stochastic Analysis and Applied Probability 2010" ( www.saap2010.org ) make up the basis of this volume. The SAAP 2010 was held in Tunisia, from 7-9 October, 2010, and was organized by the "Applied Mathematics & Mathematical Physics" research unit of the... more...

  • Stochastic Systemsby Mircea Grigoriu

    Springer 2012; US$ 279.00

    more...

  • Markovprozesse und stochastische Differentialgleichungenby Ehrhard Behrends

    Springer 2012; US$ 29.95

    In diesem Lehrbuch werden einige Themen aus der Stochastik behandelt, die auf dem Begriff des Markovprozesses aufbauen. Dabei sind Markovprozesse stochastische Prozesse, für welche die Prognose für das zufällige Verhalten in der Zukunft nur von der gegenwärtigen Position abhängt. Die zentralen Begriffe der Markovprozesse werden... more...

  • An Introduction To The Geometry Of Stochastic Flowsby Fabrice Baudoin

    World Scientific Publishing Company 2004; US$ 96.00

    This book aims to provide a self-contained introduction to the local geometry of the stochastic flows. It studies the hypoelliptic operators, which are written in H÷rmander?s form, by using the connection between stochastic flows and partial differential equations. The book stresses the author?s view that the local geometry of any stochastic flow is... more...

  • Nonlinear Fokker-Planck Equationsby Till D. Frank

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 139.00

    Centered around the natural phenomena of relaxations and fluctuations, this monograph provides readers with a foundation in the linear and nonlinear Fokker-Planck equations that describe the evolution of distribution functions. It emphasizes principles and concepts of the theory, while also illustrating the wide applicability. more...

  • Physical Approach to Short-Term Wind Power Predictionby Matthias Lange; Ulrich Focken

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 189.00

    Offers an approach to the ultimate goal of the short-term prediction of the power output of winds farms. This book addresses scientists and engineers working in wind energy related R and D and industry, as well as graduate students and nonspecialists researchers in the fields of atmospheric physics and meteorology. more...

  • Stochastic Differential Equationsby Peter H Baxendale; Sergey V Lototsky

    World Scientific Publishing Company 2007; US$ 236.00

    This volume consists of 15 articles written by experts in stochastic analysis. The first paper in the volume, Stochastic Evolution Equations by N V Krylov and B L Rozovskii, was originally published in Russian in 1979. After more than a quarter-century, this paper remains a standard reference in the field of stochastic partial differential equations... more...

  • Modeling with It˘ Stochastic Differential Equationsby Edward Allen

    Springer 2007; US$ 129.00

    Dynamical systems with random influences occur throughout the physical, biological, and social sciences. By carefully studying a randomly varying system over a small time interval, a discrete stochastic process model can be constructed. Next, letting the time interval shrink to zero, an Ito stochastic differential equation model for the dynamical system... more...

  • Stochastic Ordinary and Stochastic Partial Differential Equationsby Peter Kotelenez

    Springer 2008; US$ 109.00

    This book provides the first rigorous derivation of mesoscopic and macroscopic equations from a deterministic system of microscopic equations. The microscopic equations are cast in the form of a deterministic (Newtonian) system of coupled nonlinear oscillators for N large particles and infinitely many small particles. The mesoscopic equations are stochastic... more...