Probabilistic Methods in Applied Physics

Author:   Paul Kree ,  W. Wedig
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 1995
Volume:   451
ISBN:  

9783662140062


Pages:   393
Publication Date:   13 November 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Probabilistic Methods in Applied Physics


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Overview

This book is an outcome of a European collaboration on applications of stochastical methods to problems of science and engineering. The articles present methods allowing concrete calculations without neglecting the mathematical foundations. They address physicists and engineers interested in scientific computation and simulation techniques. In particular the volume covers: simulation, stability theory, Lyapounov exponents, stochastic modelling, statistics on trajectories, parametric stochastic control, Fokker Planck equations, and Wiener filtering.

Full Product Details

Author:   Paul Kree ,  W. Wedig
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 1995
Volume:   451
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.50cm
Weight:   0.617kg
ISBN:  

9783662140062


ISBN 10:   3662140063
Pages:   393
Publication Date:   13 November 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

The approximation and the generation of stationary vector processes.- Numerical methods and mathematical aspects for simulation of homogeneous and non homogeneous gaussian vector fields.- Simulation of stochastic differential systems.- Lyapunov exponents indicate stability and detect stochastic bifurcations.- Pitchfork and Hopf bifurcations in stochastic systems — Effective methods to calculate Lyapunov exponents.- Stochastic center as a tool in a stochastic bifurcation theory.- Lyapunov exponents for a class of hyperbolic random equations.- Functional analysis in stochastic modelling.- Pullback of measures and singular conditioning.- Adaptive sub-optimal parametric control for non-linear stochastic systems. Application to semi-active isolators.- Optimal ergodic control of nonlinear stochastic systems.- Stochastic dynamics of hysteretic media.- Exact steady-state solution of FKP equation in higher dimension for a class of non linear Hamiltonian dissipative dynamical systems excited by Gaussian white noise.- Power spectra of nonlinear dynamic systems — Analysis via generalized Hermite polynomials.- Some remarks concerning convergence of orthogonal polynomial expansions.- Un Solveur de Wiener Rapide: Résolution des Systèmes de Toeplitz par une Méthode de Gradient Conjugué Préconditionné.

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