Latest Articles for Optimization

This article explores using AI to improve multi-objective optimization processes.

Introducing Pareto front-Diverse Batch Optimization for better solutions.

A new approach to optimize Bayesian inference using generalized methods.

Homotopy methods improve shape optimization by connecting complex problems to simpler ones.

An exploration of polymatroids and their significance in mathematics and related fields.

Learn how optimal control techniques can improve decision-making in various fields.

A fresh approach to efficiently handle multiple objectives in decision-making.

Revolutionizing the way we solve optimization challenges in multiple fields.

Quantum methods offer faster ways to find eigenvectors, enhancing data analysis and optimization.

Exploring how quantum technology can streamline scheduling and routing in logistics.

Examining the importance of smallest eigenvalue in NTK for neural network training.

Learn how robust minmax control tackles uncertainty in various fields.

Explore the principles and applications of stochastic approximation in uncertain environments.

This article explores tropical geometry and its key concepts.

Ising machines aim for efficient solutions to complex problems with low energy use.

Methods for detecting and managing symmetries in optimization problems.

A new method enhances efficiency in optimal transport problems using flow updates.

A method to manage systems effectively with limited control inputs.

Innovative sampling technique tackles challenges in complex distributions for machine learning.

Quantum computing offers new solutions for complex optimization challenges.

New methods enhance rectangle coverage of orthogonal polygons, including boundary and interior challenges.

Learn methods to minimize binary polynomials and their applications in various fields.

This article presents a method to certify feasibility in semidefinite programming.

GPUs improve efficiency in solving nonlinear programming problems through innovative methods.

A look at modern methods in engineering design for efficiency and performance.

This article discusses variational inequalities and their importance in optimization and machine learning.

An overview of online sorting and the online Traveling Salesperson Problem.

New method improves efficiency in distributed minimax optimization problems.

An exploration of Thom's conjecture and its applications in gradient flow.

Discover how tropical geometry reshapes our understanding of shapes and relationships.

This article examines the challenges in finding specific subgraphs in graph theory.

A clear look at shapes formed by quadratic inequalities and their applications.

Improving adaptability in learned optimization algorithms using traditional methods.

This paper investigates randomized algorithms for better performance in online bin stretching problems.

Introducing new algorithms for efficient bilevel optimization in machine learning.

This article discusses control algorithms inspired by nature and their applications.

Random matrices unlock new approaches for solving complex problems in various fields.

Two new methods for efficient solutions in equations and inclusions using variance reduction.

A new approach to efficiently solve large-scale linear programming problems.

A new approach for agents to minimize difficult non-smooth functions together.