Latest Articles for Optimization

A method for agents to agree on solutions in complex, distributed environments.

Explore how the Hessian impacts machine learning model performance and training strategies.

Exploring a new method for solving complex optimization problems using quantum computing.

Exploring linear regularity and strong CHIP in mathematical optimization.

Research on projection algorithms enhances efficiency in linear optimization problems.

This study focuses on improving decision-making under uncertainty using submodular maximization.

Explore the role of dyadic numbers in linear programming optimization.

Learn how sign averaging improves optimization in noisy environments.

A deep dive into the world of CSPs and their solutions.

Exploring efficient methods to tackle complex optimization problems using tensor networks.

A look into special edge-weighted graphs with unique properties.

A new method improves speed in solving symmetric eigenvalue problems using Riemannian techniques.

Using fuzzy constraints enhances decision-making in uncertain optimization problems.

Simba enhances optimization efficiency, tackling saddle points and flat areas effectively.

iDDGT offers a flexible solution for decentralized optimization challenges.

New techniques enhance optimization in science and engineering with implicit constraints.

A new method improves training of Generative Flow Networks using evolutionary algorithms.

QAL-BP integrates quantum computing to improve bin packing efficiency.

A framework that merges machine learning and approximation algorithms for NP-hard problems.

This study enhances optimization tasks using adjustable inexact oracles for better performance.

torchmSAT uses machine learning to solve complex MaxSAT challenges efficiently.

A study of overlaps and their role in the Exact Cover Problem.

A new algorithm improves multiobjective optimization with efficient and well-spread solutions.

A new method improves decision-making under uncertainty using probability measures.

A new operator improves solution quality in optimization problems.

This article discusses warm-starting and classical methods in QAOA for portfolio optimization.

NITO offers a faster, adaptable method for optimizing material distribution in engineering designs.

Learn strategies for controlling systems despite unknown variables.

A look at how systems change over time with focus on control and stability.

This article presents a new method for testing nonnegativity in polynomials.

This article discusses challenges in finding local energy minima in quantum systems.

This article discusses strategies for maximizing weights in triangle packing problems.

A new algorithm enhances user preference integration in complex machine learning tasks.

Exploring the generalization of Hadamard's theorem for nonsmooth functions.

A method to optimize tasks with uncertainty using fuzzy relational equations.

Exploring how quantum computing can improve resource management in networks.

Explore how geometric inequalities reveal relationships within shapes.

Exploration is essential for agents to learn and improve decision-making.

New algorithms improve resource allocation strategies under budget constraints.

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