A method to better visualize outcomes in multi-objective optimization challenges.
― 7 min read
Mathematics - Optimization and Control
RSSA look at methods to manage unequal resource distribution effectively.
― 4 min read
Examining self-attention and gradient descent in transformer models.
― 4 min read
A look at how technology influences cell behavior for better production.
― 6 min read
BNQN offers a smoother and more robust alternative for finding roots in mathematics.
― 5 min read
Exploring model-free control techniques under limited communication channels.
― 6 min read
This paper presents a fresh approach to controlling large groups of systems.
― 5 min read
This research explores gain scheduling and neural operators for better control of nonlinear PDEs.
― 6 min read
A study on controlling systems with Dirichlet boundary conditions for improved performance.
― 6 min read
New techniques improve communication efficiency in distributed model training.
― 5 min read
Researchers improve drone operations for effective search and rescue.
― 5 min read
A new framework aims to improve EV ride-hailing efficiency and reduce waiting times.
― 6 min read
A new framework addresses uncertainties in discrete choice models for better predictions.
― 5 min read
A new algorithm improves the efficiency of decentralized systems with communication delays.
― 6 min read
Learn how CPP addresses uncertainties in optimization for better decision-making.
― 6 min read
Discover efficient caching methods to enhance user experience in a data-driven world.
― 6 min read
Explore how Adam improves deep learning model training and outperforms gradient descent.
― 6 min read
Exploring how symmetries in loss functions affect SGD dynamics during deep learning.
― 7 min read
Enhancing cancer care through tailored patient monitoring and decision-making models.
― 6 min read
This article explores the Grassmannian's representations and their applications in various fields.
― 5 min read
A new method improves image reconstruction of black holes and polarimetric data.
― 6 min read
Learn methods for effective solutions in convex nonsmooth optimization.
― 5 min read
This study improves maintenance scheduling using deep reinforcement learning for industrial machines.
― 6 min read
Exploring new methods to enhance Model Predictive Control with deep learning techniques.
― 6 min read
Exploring how group centrality metrics reshape network analysis and understanding.
― 6 min read
A study on efficient reachability methods for autonomous systems.
― 5 min read
A method to maximize rewards in task processing while managing costs effectively.
― 5 min read
A new step enhances solution refinement in challenging optimization problems.
― 3 min read
Learn how ADMM efficiently solves distributed optimization problems.
― 5 min read
Leveraging the Douglas-Rachford algorithm for effective optimal control problem-solving.
― 8 min read
This study enhances draft tube design using machine learning for better hydropower efficiency.
― 4 min read
A framework for better choices amid uncertainty.
― 7 min read
Innovative approach using neural networks to stabilize PDE systems efficiently.
― 6 min read
This article examines how neural networks improve predictions with small initial weights.
― 6 min read
New algorithms cut data needs for detailed molecular imaging.
― 5 min read
Introducing an efficient approach to solve convex-concave saddle point problems.
― 6 min read
A look at infeasible and critically feasible problems in optimal control.
― 4 min read
This paper examines the role of perturbation mappings in nonlinear programming analysis.
― 5 min read
This article explores the significance of Carrot John domains in mathematical problems.
― 5 min read
This article discusses a new method for optimizing machine learning models.
― 4 min read