A fully nonparametric model for nonlinear analysis of covariance is proposed. The term nonlinear means that the covariate influences the response in a possibly nonlinear and nonpolynomial fashion, ...

This is a preview. Log in through your library . Abstract ABSTRACT The nonlinear principal component analysis (NLPCA), via a neural network approach, was applied to thermocline anomalies in the ...

Methods for analyzing nonlinear problems in science and engineering. Constructive approach to bifurcation theory and stability theory, dynamical response of nonlinear systems, nonlinear oscillations ...

Mitch Jacoby Mitch took a liking to the physical and analytical sides of chemistry as an undergrad at Cleveland State University and stayed with it at Northwestern, where he did his PhD work in ...

This course is available on the MSc in Applicable Mathematics, MSc in Econometrics and Mathematical Economics, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial ...

The upgraded version delivers automatic detection of non-uniform grid types — an essential requirement due to the increase of custom-designed grids and sub grids for highly specialised research ...

• Most problems are nonlinear from the get-go. • Simplified load-deflection cases can help explain nonlinear (structural) FEA. Which designers need nonlinear FEA and why? Actually, projects ranging ...