A Toolbox for Nonlinear Regression inR: The Packagenlstools

Electromembrane Processes, a Toolbox for Advanced Separations

A software toolbox for the dynamic optimization of nonlinear processes

This contribution describes the development and implementation of a novel software toolbox, NDOT, for the dynamic optimization (open loop optimal control) of nonlinear processes. This modular and flexible toolbox combines the control vector parameterization approach with a number of local and global nonlinear programming solvers and suitable dynamic simulation methods. NDOT is able to solve dyn...

Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling

This paper describes a new neuroimaging analysis toolbox that allows for the modeling of nonlinear effects at the voxel level, overcoming limitations of methods based on linear models like the GLM. We illustrate its features using a relevant example in which distinct nonlinear trajectories of Alzheimer’s disease related brain atrophy patterns were found across the full biological spectrum of th...

Nonlinear Dimensionality Reduction for Regression

The task of dimensionality reduction for regression (DRR) is to find a low dimensional representation z ∈ R of the input covariates x ∈ R, with q p, for regressing the output y ∈ R. DRR can be beneficial for visualization of high dimensional data, efficient regressor design with a reduced input dimension, but also when eliminating noise in data x through uncovering the essential information z f...

A Novel Toolbox for Generating Realistic Biological Cell Geometries for Electromagnetic Microdosimetry

Researchers in bioelectromagnetics often require realistic tissue, cellular and sub-cellular geometry models for their simulations. However, biological shapes are often extremely irregular, while conventional geometrical modeling tools on the market cannot meet the demand for fast and efficient construction of irregular geometries. We have designed a free, user-friendly tool in MATLAB that comb...