Latest Articles for Mathematics

Exploring how data structure impacts machine learning performance.

A look into how Brownian motion impacts simulations in various fields.

A look at participation factors and their role in nonlinear system analysis.

Symplectic fermions help explain critical behaviors in various statistical mechanics models.

A look at fluid dynamics and the role of randomness in modeling.

ASPINN offers a fresh solution for challenging singularly perturbed differential equations.

Explore RKHS and its role in mathematical function approximation.

A look into Lagrangians and their role in symplectic geometry through surgeries.

Exploring the properties and significance of Artin and braid groups in mathematics.

An overview of rough stochastic differential equations and their applications.

Explore the unique properties and implications of negatively curved manifolds.

A new method improving optimization with inexact gradients.

Exploring the idea of math as a way to express human thoughts.

Introducing arbitrarily finely divisible matrices for better understanding of stochastic processes.

An overview of weighted walks and their implications in various fields.

Exploring invariant and equivariant maps to enhance neural networks.

Examining point arrangements in regular trees enhances understanding in various scientific fields.

Exploring the structure and significance of diagram algebras in mathematics.

Examining advances in solving nonlinear eigenvalue problems across various fields.

A look into minimum spanning trees and their significance in various fields.

This article discusses new techniques for solving BSPDEs effectively.

Discover new methods for representing Baxter permutations with improved space efficiency.

Exploring the Unique Continuation Principle's impact on wave behavior in conductive materials.

This article covers SPDEs influenced by Lévy noise and solution methods.

An overview of interval exchange transformations and their significance in mathematics.

New methods to control synchronization in systems with multiple oscillators show promise.

Explore the relationships between graph theory and geometric figures.

A focused study on constants in Paley-Wiener spaces through optimization.

A fresh approach to understanding weights in coding theory.

Examining the properties and applications of super-tree random measures in various fields.

Examining the impact of Dehn twists on four-dimensional structures.

An overview of fragmentation processes and their real-world implications.

Examining the existence of BPS vacuum and multi-vortex solutions.

A look into the significance of Shimura varieties in mathematics.

This study examines transportation costs involving random points and advanced mathematical techniques.

New algorithms improve efficiency in solving sparsity-related problems.

A look into Stochastic Gradient Descent and its role in optimization.

Research on gravitational waves is advancing our grasp of black holes and gravity.

Explore how DDP helps manage complex control problems in various fields.

A new method to analyze uncertain graphs and their centrality measures.