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#### Stochastic Dynamics

Springer New York 2007; US$ 139.00The conference on Random Dynamical Systems took place from April 28 to May 2, 1997, in Bremen and was organized by Matthias Gundlach and Wolfgang Kliemann with the help of th'itz Colonius and Hans Crauel. It brought together mathematicians and scientists for whom mathematics, in particular the field of random dynamical systems, is of relevance. The... more...

#### An Introduction To The Geometry Of Stochastic Flows

World Scientific Publishing Company 2004; US$ 64.00 US$ 52.48This 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 Hörmander?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...

#### Stochastic Differential Equations

World Scientific Publishing Company 2007; US$ 145.00 US$ 118.90This 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...

#### Stable Perturbations of Operators and Related Topics

World Scientific Publishing Company 2012; US$ 84.00 US$ 68.88This book provides a broad introduction to the generalized inverses, Moore–Penrose inverses, Drazin inverses and T–S outer generalized inverses and their perturbation analyses in the spaces of infinite-dimensional. This subject has many applications in operator theory, operator algebras, global analysis and approximation theory and so on.... more...

#### Markovprozesse und stochastische Differentialgleichungen

Springer Fachmedien Wiesbaden 2012; US$ 18.87In 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 anschaulich erklärt... more...

#### Impulsive Differential Inclusions

De Gruyter 2013; US$ 168.43Impulsive differential equations have been developed in modeling impulsive problems in physics, population dynamics, ecology, biotechnology, industrial robotics, pharmacokinetics, optimal control, etc. The questions of existence and stability of solutions for different classes of initial values problems for impulsive differential equations... more...

#### Stochastic Differential Equations on Manifolds

Cambridge University Press 1982; US$ 52.00 US$ 42.64A basic 1982 treatment of stochastic differential equations on manifolds and their solution flows and the properties of Brownian motion on Riemannian manifolds. more...

#### Stochastic Differential Equations and Diffusion Processes

Elsevier Science 2011; US$ 72.95Stochastic Differential Equations and Diffusion Processes more...

#### Stochastic Differential Equations, Backward SDEs, Partial Differential Equations

Springer International Publishing 2014; US$ 134.77This research monograph presents results to researchers in stochastic calculus, forward and backward stochastic differential equations, connections between diffusion processes and second order partial differential equations (PDEs), and financial mathematics. It pays special attention to the relations between SDEs/BSDEs and second order PDEs under... more...

#### Stochastic Differential Equations and Applications

Elsevier Science 2014; US$ 72.95Stochastic Differential Equations and Applications, Volume 1 covers the development of the basic theory of stochastic differential equation systems. This volume is divided into nine chapters. Chapters 1 to 5 deal with the basic theory of stochastic differential equations, including discussions of the Markov processes, Brownian motion, and the stochastic... more...