<--- Back to Details
First PageDocument Content
Statistical mechanics / Equations / Brownian motion / Stochastic differential equation / Dynamics / Langevin equation / Fokker–Planck equation / Wiener process / Stochastic / Statistics / Stochastic processes / Probability and statistics
Date: 2013-12-06 21:41:26
Statistical mechanics
Equations
Brownian motion
Stochastic differential equation
Dynamics
Langevin equation
Fokker–Planck equation
Wiener process
Stochastic
Statistics
Stochastic processes
Probability and statistics

1 Introduction 1.1 Motivations and Historical Clues Structural dynamics deals with the problems of response analysis, reliability evaluation and system control of any given type of structure subjected to dynamic actions.

Add to Reading List

Source URL: media.wiley.com

Download Document from Source Website

File Size: 510,68 KB

Share Document on Facebook

Similar Documents

Process algebra and Markov processes The nature of synchronisation Equivalence relations Case study: active badges Summary  From Markov to Milner and back: Stochastic process algebras Jane Hillston School of Informatics

Process algebra and Markov processes The nature of synchronisation Equivalence relations Case study: active badges Summary From Markov to Milner and back: Stochastic process algebras Jane Hillston School of Informatics

DocID: 1xVg5 - View Document

Gaussian Stochastic ProcessesGaussian Stochastic Processes • Linear systems driven by IID noise • Evolution of mean and covariance • Example: mass-spring system

Gaussian Stochastic ProcessesGaussian Stochastic Processes • Linear systems driven by IID noise • Evolution of mean and covariance • Example: mass-spring system

DocID: 1uqvO - View Document

STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS MSRI Summer Graduate School July 7–18, A. A. Borovkov, Ergodicity and stability of stochastic processes, Wiley, Chichester, 1998, ISBNMRZbl 0

STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS MSRI Summer Graduate School July 7–18, A. A. Borovkov, Ergodicity and stability of stochastic processes, Wiley, Chichester, 1998, ISBNMRZbl 0

DocID: 1sRlG - View Document

Embedding machine learning in formal stochastic models of biological processes Jane Hillston School of Informatics, University of Edinburgh  29th October 2014

Embedding machine learning in formal stochastic models of biological processes Jane Hillston School of Informatics, University of Edinburgh 29th October 2014

DocID: 1sHGv - View Document

Stochastic Processes and their Applications–53  Self-collisions of superprocesses: renormalization and limit theorems Jay Rosen 1 Department of Mathematics, College of Staten Island, CUNY Staten Island, NY

Stochastic Processes and their Applications–53 Self-collisions of superprocesses: renormalization and limit theorems Jay Rosen 1 Department of Mathematics, College of Staten Island, CUNY Staten Island, NY

DocID: 1sGka - View Document