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 ...

The paper is concerned with parametric models for populations of curves; i. e. models of the form $y_{i}(x)=f(\boldsymbol{\theta}_{\mathbf{\mathit{i}}};x)$ + error, i ...

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.

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 ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...