Latest Articles for Optimization

A user-friendly tool for solving combinatorial optimization problems using quantum computing.

Hypermatrices expand beyond traditional matrices, enabling complex multi-dimensional data handling.

Analysis of agent interactions and meeting times in non-atomic random walks.

Exploring the performance of RC-FPI in inconsistent optimization problems.

This article discusses improving sketching algorithms through innovative machine learning techniques.

Learn how matroids inform independence and pairing in mathematical systems.

A novel method to efficiently extract geometric data from CPWA neural networks.

Exploring the intricacies and challenges of disk packing in geometry.

Explore an optimization challenge in connecting locations using Steiner points.

A look into the challenges and solutions of packing colored items efficiently.

A new optimization method improves speed and efficiency in large data scenarios.

Innovative methods for addressing challenges in nonsmooth optimization problems.

A look at solving saddle-point problems with an effective mapping method.

Explore the strong B-inequality and its significance in mathematics.

New methods improve efficiency in bin packing and hypergraph coloring applications.

Mathematicians make progress in understanding the Heilbronn triangle problem and its implications.

A look into improving EV infrastructure using quantum computing.

A look at how AdaGrad improves optimization in machine learning tasks.

A method for maintaining large matchings in frequently updated graphs.

Learn how robust optimization helps solve issues in uncertain environments.

Exploring new methods to improve decision-making amidst uncertainty using neural networks.

Explore methods to speed up the process of finding solutions to complex problems.

Exploring recent improvements in optimization techniques for complex mathematical problems.

A look into bilevel optimization and its applications.

Learn about semialgebraic sets and Nash maps in algebra and geometry.

A look into how stochastic algorithms adapt and learn over different timeframes.

A new method combines algorithms and reinforcement learning for truss design.

Exploring continuous measures for assessing convexity in shapes and functions.

A new approach to improve control strategies using real-time adaptations.

This article presents a fresh framework for Lagrange multipliers in constrained optimization.

A new policy enhances strategies for effective decision-making within a budget.

This article examines new methods for improving periodic timetabling through split cuts.

Exploring how quantum computing can address vehicle routing problems with time constraints.

A new method enhances how medical students are matched to rotation orders.

Exploring local antimagic labeling and its implications in graph theory.

Innovative methods to tackle complex nonconvex optimization problems effectively.

Exploring the complexities of integer packing within geometric shapes.

This study focuses on minimizing network lengths connecting specific points in geometry.

Exploring the connections between polynomial equations and geometric structures.

New framework boosts performance in prophet inequality scenarios through sharding and Poissonization.