Agile vs. Waterfall: Brief Overview. These project management strategies can apply to any project across industries. It’s important to note that most projects incorporate aspects of both—some ...

To optimize the dispatch of batteries, a model is required that can predict the state of energy (SOE) trajectory for a chosen open-loop power schedule to ensure admissibility (i.e., that schedule can ...

In this paper, we investigate distributionally robust model order reduction for linear, discrete-time, time-invariant systems. The external input is assumed to follow an uncertain distribution within ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Fit linear models to data in statistical software; Interpret model parameters and related statistics in light of the underlying data and study design; Hold a model-data dialogue using diagnostics to ...

This book provides the general reader with an introduction to mathematical elasticity, by means of general concepts in classic mechanics, and models for elastic springs, strings, rods, beams and ...

- an :ref:`elastic_net`. It is known that the Lasso estimates turn to be close to the model selection. estimates when the data dimensions grow, given that the irrelevant variables are. ...

This monograph provides a comprehensive overview of the author's work on the fields of fractional calculus and waves in linear viscoelastic media, which includes his pioneering contributions on the ...