Latest Articles for Optimization

Exploring the relationship between two key mathematical concepts in optimization.

A new approach to improve decisions under uncertainty with covariate shifts.

A new framework aids non-experts in harnessing quantum computing for solving optimization problems.

Explore the significance of hypergraphs in mathematics and their applications.

A method to maximize value in agent-item matching by analyzing preferences.

Quantum annealing offers fresh methods for tackling optimization challenges across various fields.

Discover key concepts of odd edge-colorings and coverings in graph theory.

New techniques improve solutions to complex mathematical problems.

A deep look at the puzzle of fitting a sofa through a corner.

A fresh look at optimization challenges involving probabilities.

This paper introduces a framework for gray-box optimization to improve problem-solving techniques.

Exploring effective strategies for solving complex optimization problems.

New methods improve bilevel optimization efficiency using first-order information.

Uno offers a modular framework for better nonconvex optimization solutions.

Discover methods to solve complex algebraic equations efficiently using the ADI approach.

This paper discusses using random projections to simplify semidefinite programming problems.

Explore strategies for making optimal choices in random decision-making scenarios.

A new algorithm tackles complex multiobjective optimization challenges.

New methods improve approximate solutions for the Traveling Salesperson Problem.

Investigation into how algorithms struggle with marginal optima.

A look into marginal optima and their impact on algorithms in complex systems.

A deep dive into stable sparse solutions in optimization.

A new method enhances integer linear programming with cut removal and machine learning.

An exploration of the complexities in Snake Cube puzzles and their variations.

An overview of online matroid embeddings and their applications in decision-making.

Learn about pinnacle sets and their significance in graph theory.

A look into the complexities and solutions for the multidimensional knapsack problem.

This study introduces a new algorithm for efficient function optimization using limited feedback.

A deep dive into the intricate world of Grassmannian optimization.

A new approach integrates contextual information into decision-making for better outcomes.

Exploring the potential of quantum algorithms for complex optimization tasks.

How quantum computing algorithms improve optimization across various fields.

Exploring measures and dynamics in ergodic optimization through unique shift systems.

An overview of matroids and their significance in mathematics.

Optimizing functions with approximate gradients in real-world scenarios.

MCU-MixQ enhances AI model performance on microcontrollers by optimizing resource use.

Understanding matroids, their types, and challenges in intersection problems.

A look at competition in prize collection through route planning.

A look at spanning trees and perfect matchings in graph theory.

Explore how circles can cover darts on a hexagonal board.