A linear model is a function that has a constant rate of change, meaning that the output changes by the same amount for any given change in the input. For example, y = 2x + 5 is a linear model ...

Linear regression models assume that the dependent variable is a linear function of the independent ... are appropriate for your data and research question, and estimate their parameters or ...

Linear functions arise in a wide range of applications because they often capture the essential relationships without becoming overly complicated. They span various fields, including economics, where ...

This Jupyter Notebook demonstrates how to perform linear regression and visualize the results using matplotlib and scikit-learn. It includes examples of plotting linear and quadratic functions, ...

we investigate the use of relaxed logarithmic barrier functions in the context of linear model predictive control. We present results that allow to guarantee asymptotic stability of the corresponding ...

Abstract: We study convergence properties of competing epidemic ... viruses spreading on overlaid graphs, with non-linear rates of infection spread and recovery. We call this the non-linear bi-virus ...

Results derived from GP models are usually very sensitive to the type of achievement function that is chosen ... All references mentioned in Class 2 use linear goal programming (GP).