Latest Articles for Eigenvalues

Explore the role of eigenvalues in improving statistical analyses and model evaluations.

Research reveals new patterns and boundaries of eigenvalue sums in quantum mechanics.

Exploring the behavior of eigenvalues in random matrices through the circular law.

This study investigates eigenvalue changes in domains with periodic holes.

An overview of density matrices and their role in quantum mechanics.

Exploring the links between hollow integer matrices, eigenvalues, and signed graphs.

Exploring the significance of characteristic polynomials in random matrix theory and number theory.

A look into the stability properties of standing waves in quantum physics.

A look into the complex patterns within Maass forms and their mathematical significance.

Explore the link between tree structures, diameter, and eigenvalues in mathematics.

Quantum algorithms offer efficient methods for testing the convexity of functions.

Understanding the interplay of signed graphs and their indices can reveal complex relationships.

A look into cubic graphs and their eigenvalue properties.

Examining how flexibility in models enhances predictive accuracy through dynamic adjustments.

Explore the psvmSDR package for efficient variable reduction in data analysis.

Examining how graph properties impact chemical compounds and their behaviors.

A new method streamlines nuclear reactor calculations successfully.

Researchers create simpler models to predict complex fluid behaviors efficiently.

An overview of how random matrices impact various fields in mathematics and physics.

An overview of quantum walks and their significance in quantum mechanics.

A novel method using neural networks to compute eigenvalues in large matrices.

Explore the significance and uses of block structured matrices in math and engineering.

Study of energy levels reveals chaos in quantum systems with disorder.

A look at the Helmholtz equation and Newtonian potential in wave analysis.

An overview of Pennington-Worah matrices and their implications in various fields.

Examining the role of random matrices in various fields through eigenvalue analysis.

Learn how the filtered Lanczos procedure enhances eigenvalue calculations using GPUs.

Exploring eigenvalues and computational techniques for nuclear reactor criticality management.

A look at quotient iteration for faster eigenvalue problem solving.

A deeper look at ICS for effective data analysis across multiple groups.

Explore the significance of integral Cayley graphs in mathematics.

A dive into the Dirac operator and its eigenvalues through perturbations.

Exploring the fascinating world of harmonic oscillators and their extensions.

A look into the behavior of damped waves in specific geometric spaces.

A look at operators and their role in math and science.

A look at nonnormal matrices, their properties, and real-world implications.

Discover Hořava gravity and its unique perspective on gravitational forces.

Explore how circulant graphs model friendships and connections in a unique way.

A look at how the Bethe-Hessian matrix aids in community detection.

Exploring the significance of eigenvalues and eigenvectors in engineering and physics.