We develop a novel 2D functional learning framework that employs a sparsity-promoting regularization based on second-order derivatives. Motivated by the nature of the regularizer, we restrict the ...

Linear functions are an important concept for students to understand in math class. They can be represented using tables, graphs or equations. Teachers can use various activities to teach students how ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

1. Introduction Functional connectivity describes the pairwise statistical dependencies which exist across spatially remote brain regions (Friston, 2011). When studied across multiple regions, ...

Solving linear inequalities Inequalities are generally solved using the same steps as for equations, except when multiplying or dividing both sides of an inequality by a negative number, in which case ...

This paper studies the stabilization problem of discrete-time switched linear systems (SLSs). To analyze the switching stabilizability and to design switching policies, we first introduce the periodic ...