Reduced-order modelling (ROM) has emerged as a vital tool in structural analysis, offering computationally efficient alternatives to full finite element models. By capturing the essential dynamics of ...

Journal of Computational and Graphical Statistics, Vol. 19, No. 2 (June 2010), pp. 260-280 (21 pages) We describe a strategy for Markov chain Monte Carlo analysis of nonlinear, non-Gaussian ...

Agilent announced an X-parameter nonlinear modeling technique for modeling components such as amplifiers and transistors commonly used in the wireless and aerospace defense industries. The ...

True to form, observations of nonlinear behaviour in graphene – such as parametric frequency conversion, third harmonic generation and self -phase modulation – has revealed extremely strong responses.

In this article we suggest a nonparametric procedure for selecting significant lags in the model description of a general nonlinear stationary time series. The procedure can be applied to both the ...

Information theory and network physiology are rapidly converging fields that offer powerful frameworks for unraveling the complexities of living systems. At ...

Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

During ground take-off/landing maneouvres, aircraft landing gear can display unwanted oscillations, which are referred to as shimmy oscillations. Scientist are studying the dynamics of aircraft ...