Latest Articles for Optimization

New algorithms improve resource allocation strategies under budget constraints.

An overview of techniques to solve the cable-trench problem in graph theory.

A look at how margins influence combinatorial optimization problems involving geometry.

A new algorithm improves optimization when hyperparameters are unknown.

A look into polymatroids and their significance across various mathematical fields.

A look into the properties and implications of connected matchings.

Research explores transferring parameters for faster quantum optimization solutions.

A novel method for addressing complex optimization challenges using data-driven strategies.

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

A look at positroids and their relationship with transversal and paving matroids.

Using Binary Decision Diagrams for efficient multicriteria decision-making.

An exploration of metric measure spaces and their significance in mathematics.

This article discusses how symmetry influences optimization and decision-making across various fields.

A look into matroids and their applications in various fields.

Exploring the dynamics of human-AI teamwork in optimization tasks.

Leveraging the Douglas-Rachford algorithm for effective optimal control problem-solving.

Innovative methods enhance efficiency in packing unequal circles into containers.

Introducing an efficient approach to solve convex-concave saddle point problems.

A look at infeasible and critically feasible problems in optimal control.

This paper examines the role of perturbation mappings in nonlinear programming analysis.

This article explores the significance of Carrot John domains in mathematical problems.

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

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

New methods in distributed optimization improve efficiency and privacy in data-driven decision-making.

Examining how uniqueness aids in solving convex optimization problems.

A fresh approach improves accuracy in solving complex SDP challenges.

A look at how satisfiability, coverage, and fairness intersect in optimization.

A fresh method for optimizing Markov chains using polytope techniques.

A new method blends deep learning and constraint programming to enhance job scheduling.

Introducing EPIC, a method for efficient eigenvalue computation.

A streamlined approach to solving multi-objective optimization problems using utility functions.

Exploring piecewise-constant lifting for improved integer programming solutions.

Combining Monte Carlo Tree Search with Cube-and-Conquer boosts SAT solving efficiency.

Exploring the applications and algorithms of minimal spanning arborescences in various fields.

Exploring transfer learning in quantum algorithms for improved problem-solving.

This article examines the cohomology of toric varieties and their significance in mathematics.

Innovative techniques to improve optimization performance in the presence of noise.

An overview of entropy's role in analyzing log-concave random vectors.

Examining strategic interactions in feedback Stackelberg games and their real-world applications.

A new method uses quantum computing to tackle complex delivery routing challenges.