More than 50 million people worldwide suffer from epilepsy. Approximately 30% of epileptic patients suffer from medically refractory epilepsy (MRE), which means that over 15 million people must seek ...

Eigenvectors are used throughout the physical and social sciences to reduce the dimension of complex problems to manageable levels and to distinguish signal from noise. Our research identifies and ...

It is of significant interest to understand the structure and function of multilayer networks, which model many practical complex systems. Centrality, quantifying the importance of nodes in a graph, ...

This study aimed to investigate resting-state neural correlates of math anxiety in high school students using a graph-theoretical approach. Sixty 10th-grade students (35 females; mean age = 16.15 ...

Department of Electrical and Computer Engineering and Technology, Minnesota State University, Mankato, USA. where is a diagonal matrix of eigenvalues. Eigenvector robustness is a relatively recent ...

A vector that is associated with a set of linear equations is the eigenvector. It is also known as a latent vector, proper vector, or characteristic vector. These are specified in a square matrix ...

Eigenvector aggregate is a method to approximate the eigenvector derivatives of the eigenvalue problem used in topology optimization. The method is described in the following paper "Topology ...