Latest Articles for Algorithms

Learn about methods to find optimal solutions in various fields.

A look into the PDHG algorithm and its role in optimization methods.

Examining how to uniquely pack three copies of 2-factors in graph theory.

A new method to calculate Heegaard genus efficiently using normal surfaces.

Introducing a method to handle difficult optimization problems with Lipschitz constraints.

A fresh approach improves calculations on the Stiefel manifold for various applications.

A novel approach improves distance optimization strategies at singular points.

A look into effective strategies for distributing tasks across machines in real-time.

Explore the latest methods and challenges in distributed graph coloring.

A novel approach to enhance graph consistency through transformation rules and application conditions.

Geometry-Aware Pareto Set Learning improves efficiency in solving multi-objective problems.

How reinforcement learning improves variational quantum algorithms for complex problem-solving.

Explore the significance of tree-packing in computer science and its applications.

Learn about Hilbert functions and their role in randomness extraction.

Explore the fundamentals and applications of graph theory in various fields.

A look into graphs, their properties, and their role in computer science.

This article discusses the benefits of hybrid high-order methods with geometric multigrid for solving linear systems.

Learn about string covers and their significance in data management.

A fresh method to assess bias in datasets for fairer decision-making.

Analyzing robust methods for fair allocations in cooperative optimization games.

Exploring the efficiency of jumping automata and their cost measures.

Free sets help in arranging planar graphs without edge crossings.

Exploring bounded uniform and small-bias distributions in pseudorandomness research.

New algorithm improves twisted conjugacy problem solutions in odd dihedral Artin groups.

AutoLINC automates loss function design for better handling of class imbalance in machine learning.

Learn how to make better predictions and decisions by minimizing swap regret.

A look into the challenges and solutions of the 2-means clustering problem.

AFCM improves fuzzy clustering by adapting parameters and managing complex shapes.

Examining average sensitivity for better decision-making in resource allocation.

This study examines player behavior in blindfolded games using Thompson sampling.

Investigating solutions for optimal control problems under specific constraints.

Examining K-Cores and degeneracy in graph streaming reveals significant complexity.

A new method tackles complex stochastic minimax problems effectively.

This article presents an innovative algorithm for efficient time series likelihood calculations.

Research presents algorithms for minimizing node distances in dynamically revealed graphs.

A new algorithm improves edge coloring speed and efficiency in graph theory.

Transitioning from ECDF to EAF improves algorithm performance analysis.

An overview of query complexity and its significance in computer science.

A look at how cardinality sketches estimate unique items and their vulnerabilities.

An overview of policy gradient methods in reinforcement learning.