Latest Articles for Optimization

Combining reinforcement learning and Branch-and-Bound for better optimization solutions.

A look at how structured variable addition improves problem-solving efficiency.

A look into positive spanning sets and their significance in optimization.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

MOVE offers an innovative approach to balance multiple goals in optimization tasks.

Exploring optimization through hyperbolic polynomials and their applications.

Examining hyperplanes' role in covering hypercubes with a focus on almost k-covers.

A look at how to optimize selections under budget constraints.

Phase binarized oscillators show potential for solving optimization problems faster than quantum methods.

An exploration of optimal transport principles through the lens of martingales.

This method simplifies nonconvex optimization problems with linear constraints effectively.

Exploring smooth functions that improve the maximum function's usability in mathematics.

Research reveals complexity in matroid optimization problems with linear constraints.

Exploring mathematical concepts of colorings and coverings applied to the cube.

New methods for faster solutions to TSP and MST problems.

New algorithms ensure stable results in combinatorial optimization problems.

New methods improve multi-block optimization for complex problems across various fields.

A deep dive into tackling the BMWIS problem in bipartite and perfect graphs.

Investigating how dimensions affect efficiency in online chasing tasks.

A new method for sampling from complex distributions in imaging.

A new method improves machine tuning with safety and data-driven optimization.

A machine learning approach enhances the selection of SAT encodings for complex problems.

A look at Lipschitz selections and the Projection Algorithm.

An overview of the weighted -server problem and its complex solutions.

Learn how coordinate descent can minimize functions with constraints effectively.

Exploring methods for learning about polytopes through hyperplanes.

Key concepts and applications of variational problems in science and engineering.

A look into hyperplane arrangements and the Primitive Eulerian polynomial.

Exploring efficient patrolling methods using insights from the Fagnano Triangle problem.

A new algorithm enhances the sampling of lattice points in polytopes.

An overview of challenges and strategies in multi-armed bandit problems.

A study on Riemannian gradient descent and its application in complex game scenarios.

This article discusses tropical geometry's role in optimizing location problems.

A new approach improves Variational Quantum Eigensolver performance using tensor ring approximations.

Examining two-player strategies in minimax problems and their real-world applications.

An analysis of decision-making in gambling with limited information.

Learn how to manage tail risk using Conditional Value-at-Risk and Importance Sampling techniques.

Learn how optimal transport efficiently moves resources while minimizing costs.

Explores stable subsets in cycles and their applications in computer science.

A look into the properties and complexities of Gaussian random polytopes.