
Home | Nonlinear Dynamics - Springer
The journal covers nonlinear dynamics in mechanical, structural, civil, aeronautical, ocean, electrical, control, and hybrid systems. Review articles, feature articles and original …
Linear and Nonlinear Pharmacokinetics | SpringerLink
Jun 23, 2021 · This is precisely the reason of the well-known nonlinear response between dose and pharmacodynamic (PD) effect. Although effects are considered to be the PD response to …
Home | Journal of Nonlinear Science - Springer
The mission of the Journal of Nonlinear Science is to publish papers that augment the fundamental ways we describe, model, and predict nonlinear phenomena. It features papers …
Nonlinear Regression Modelling: A Primer with Applications
Mar 15, 2024 · The article is structured as follows. To provide important context, Sect. 2 introduces simple motivating nonlinear model examples which highlight both nonlinear …
Nonlinear and Constrained Control: Applications, Synergies, …
This book focuses on recent advances in and applications of constrained and nonlinear control. The first part concentrates on theoretical aspects, highlighting synergies between constrained …
Nonlinear Optics: Principles and Applications | SpringerLink
This book reflects the latest advances in nonlinear optics. Besides the simple, strict mathematical deduction, it also discusses the experimental verification and possible future applications, such …
Nonlinear Effect | SpringerLink
That is to say, in a nonlinear system, the input is not proportional to the output. Statistically speaking, an effect between a predictor and a dependent variable is called nonlinear if it …
Non-linear Image Registration | SpringerLink
This chapter presents a comprehensive overview of mathematical techniques used for nonlinear image registration. A particular focus is on regularization techniques that ensure a …
Introduction to Nonlinear Finite Element Analysis
This book introduces the key concepts of nonlinear finite element analysis procedures. The book explains the fundamental theories of the field and provides instructions on how to apply the …
Non-linear Techniques for Dimension Reduction | SpringerLink
Summary Two kinds of non-linear dimension reduction techniques, kernel-based methods and manifold learning related algorithms, have been introduced here.