✦ LIBER ✦

Semilinear stochastic systems: Analysis with the method of the stochastic Green's function and application in mechanics

✍ Scribed by G Adomian; N Bellomo; R Riganti

Publisher: Elsevier Science
Year: 1983
Tongue: English
Weight: 478 KB
Volume: 96
Category: Article
ISSN: 0022-247X
DOI: 10.1016/0022-247x(83)90044-6

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

On a class of semilinear stochastic syst

On a class of semilinear stochastic systems in mechanics with quadratic-type nonlinearities: Time evolution of the probability density

✍ E Gabetta 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 564 KB

ARE STATISTICAL LINEARIZATION AND STANDA

ARE STATISTICAL LINEARIZATION AND STANDARD EQUIVALENT LINEARIZATION THE SAME METHODS IN THE ANALYSIS OF STOCHASTIC DYNAMIC SYSTEMS?

✍ L. SOCHA; M. PAWLETA 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 232 KB

Iterative solution of the random eigenva

Iterative solution of the random eigenvalue problem with application to spectral stochastic finite element systems

✍ C. V. Verhoosel; M. A. Gutiérrez; S. J. Hulshoff 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 396 KB

A computational algorithm for the Green'

A computational algorithm for the Green's function method of sensitivity analysis in chemical kinetics

✍ Eugene P. Dougherty; Herschel Rabitz 📂 Article 📅 1979 🏛 John Wiley and Sons 🌐 English ⚖ 665 KB

## Abstract The recent interest in numerical modeling of chemical kinetics has generated the need for proper analysis of the system sensitivities in such models. This paper describes the logic for a program developed by the authors to implement the Green's function method of sensitivity analysis in

THE THEORY OF RESPONSE ANALYSIS OF FUZZY

THE THEORY OF RESPONSE ANALYSIS OF FUZZY STOCHASTIC DYNAMICAL SYSTEMS WITH A SINGLE DEGREE OF FREEDOM

✍ ZHANG, Y.; WANG, G.; SU, F.; QIAO, Z. 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 836 KB

Most real-life structural/mechanical systems have complex geometrical and material properties and operate under complex fuzzy environmental conditions. These systems are certainly subjected to fuzzy random excitations induced by the environment. For an analytical treatment of such a system subjected

Simulation Models for the Dynamic Analys

Simulation Models for the Dynamic Analysis of Molecular-Genetic Control Systems. Part 2: Application of the discrete stochastic model to the system analysis of some elementary epigenetic control systems

✍ R. Böttner; K. Bellmann 📂 Article 📅 1981 🏛 John Wiley and Sons 🌐 English ⚖ 850 KB

## Abstract The discrete stochastic model of the gene‐expression regulation — elaborated in the first part of this work — is used for the dynamic analysis of some simple molecular‐genetic control systems. The aim is the determination of stationary states and of their stability behaviour, the findin