Latest Articles for Algorithms

This article discusses using predictions to enhance solutions for the Max-Cut problem.

Quantum walks blend quantum mechanics and graph theory, offering fresh insights and applications.

This paper examines invariant checking in systems with infinite states using two algorithms.

New algorithms enhance privacy and accuracy in sparse data scenarios.

Explore the concept of mutual visibility in graphs and its applications.

New algorithms tackle challenges in adversarial MDPs without needing prior loss knowledge.

A look at comparing nondeterministic probabilistic models and their importance.

GSL-LPA enhances community detection in large networks by maintaining connectivity.

New libraries and algorithms boost performance in electronic structure research.

A new approach improves machine learning accuracy while ensuring data privacy.

A look into matching algorithms and their performance in stochastic block models.

Researchers push boundaries with new algorithms for polynomial factorization in computer science.

A look into strategies for the Canadian Traveller Problem in graphs with blockages.

This article discusses Stochastic Gradient Flow and its impact on model learning.

Analyzing ranking methods influenced by adversarial comparisons.

A look into optimizing communication networks with binary tree structures.

New mechanisms enhance privacy while preserving data utility in machine learning.

This article presents a novel way to study geodesic disks and their intersections.

Learn how ADMM efficiently solves distributed optimization problems.

Explore the significance and implications of P and NP in computer science.

Grobner bases simplify computations in solving polynomial equations, impacting fields like cryptography.

A clear look at the key ideas in graph theory and their connections.

Study the relationships between group elements using the Miller Machine.

A new method for efficient data analysis amidst outliers.

This research focuses on computing threshold functions effectively despite noisy data.

A fresh approach enhances the efficiency of estimating multiple eigenvalues in quantum systems.

An approach to optimize edge 2-coloring for improved graph performance.

This article discusses the cosine measure's application to subspaces in optimization.

An overview of complex reachability problems in linear systems.

New circuit designs improve quantum walk implementations on current hardware.

Examining how uniqueness aids in solving convex optimization problems.

GBC offers an efficient solution for counting bicliques in large bipartite graphs.

A new method improves finding large defective cliques in complex graphs.

Learn to tackle complex graph problems using periodic sets and tree decomposition.

This paper discusses learning-based methods for better decision-making in computing tasks.

Exploring undecidability in subshifts of finite type and sofic subshifts.

Sublinear expanders offer unique connectivity properties for sparse graphs in various fields.

A fresh method for optimizing Markov chains using polytope techniques.

This article examines links between Depth-3 circuits and SAT problem-solving techniques.

Recent studies reveal new insights into graph edge directions and their connectivity.