Latest Articles for Optimization

A new approach to enhance stability in bilevel optimization problems.

A new method improves facility location for better urban access.

A novel algorithm enhances decision-making in complex environments using historical data.

A look into Neumaier graphs and their unique properties.

A new method to measure the performance of greedy algorithms in string optimization.

A deep dive into Wasserstein projections and their applications in statistics.

New methods for solving stochastic control problems without derivatives using neural networks.

This article discusses a new algorithm for solving the knapsack problem efficiently.

Exploring how quantum computing can address complex optimization challenges.

New methods simplify constrained optimization with tensor networks.

A look into graph matching concepts and their significance.

A look at methods for optimizing control problems across various fields.

Exploring the application of Grunbaum's inequality in complex geometric environments.

A deep dive into the cardinality-based minimum cut problem in hypergraphs.

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

New methods improve decision-making in complex resource allocation problems.

This article presents a new method for solving bilevel programming problems with linear and nonlinear components.

This article examines consensus-based optimization and its methods in problem-solving.

Discover Fenchel duality's applications and significance in optimization and analysis.

A look at nonsmooth optimization and its unique challenges in various fields.

A study on minimizing cable lengths in complex designs.

Learn how data similarity improves agent collaboration in problem-solving.

This article explores how QUBO can enhance cryptographic solutions.

A new algorithm improves coordination among nodes under communication limits.

Exploring the properties and implications of positive semi-definite matrices in mathematics.

Learn2Aggregate framework boosts efficiency in Mixed Integer Linear Programming.

Explore temporal VCSPs and their significance in optimization problems.

New methods enhance efficiency in sampling log-concave distributions within polytopes.

Learn how the funnel method simplifies solving constrained optimization challenges.

Research merges evolutionary algorithms and quantum computing to tackle the Max-Cut problem.

CAMAL combines machine learning and traditional methods to optimize LSM tree performance.

Gabow's algorithm efficiently finds maximum matchings in general graphs.

Exploring the difficulties of optimizing nonsmooth nonconvex functions and local algorithm limitations.

A new algorithm combines counterdiabatic methods and Lyapunov control for better optimization.

Photonic quantum computers may revolutionize solving complex optimization challenges.

Explore the relationships between graph theory and geometric figures.

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

New techniques tackle saddle points in complex optimization landscapes.

PASPO provides a fresh approach to complex allocation challenges across various fields.

A look into g-convex functions and their applications in optimization and geometry.