Latest Articles for Optimization

A new approach to track activities in cislunar space for safer exploration.

A fresh method reduces neural network size while preserving performance.

A new framework optimizes queries across relational and graph data.

Galley simplifies programming with sparse tensors, enhancing efficiency and performance.

Exploring how multi-task learning affects model performance and generalization.

New algorithms combine quantum computing and classical methods to speed up calculations.

Combining optimization strategies improves learning in reinforcement learning tasks.

A new machine-learning method improves constraint selection for mixed-integer linear programming.

A new approach to container stowage planning improves efficiency in shipping.

A method for risk-neutral optimization in uncertain environments.

A look at error management techniques in quantum computers.

This method helps manage EV integration into the power grid effectively.

A new approach enhances the merging of satellite images for better analysis.

A look at new methods for solving complex optimization challenges in machine learning.

PySLSQP simplifies nonlinear programming with real-time visualization and automatic derivatives.

This paper discusses methods to optimize experimental design for better efficiency and outcomes.

New methods enhance clarity in storyline drawings by minimizing curve crossings.

Transform dialect offers better control for performance engineers in compiler optimization.

New algorithms enhance integer linear programming efficiency for optimization problems.

Discover how bistable origami structures are transforming engineering design and applications.

A new method using deep learning speeds up stellarator design for fusion energy.

Researchers develop predictive control strategies for nonlinear systems through signature transform techniques.

Introducing an improved approach for tackling stochastic optimization problems with constraints.

HESSO simplifies model compression, making neural networks more efficient without losing performance.

A streamlined approach to control systems using automated tools.

A new model designed to reduce power consumption in wireless communications.

Introducing a novel approach to tackle challenging constrained optimization issues effectively.

A novel approach enhances spacecraft path planning to the Near Rectilinear Halo Orbit.

Quantum computing methods are enhancing solutions for complex combinatorial optimization problems.

A look at how Digital Twins improve autonomous vehicle operations.

Quantum algorithms offer efficient methods for testing the convexity of functions.

This research simplifies learning directed acyclic graphs from data using convex optimization.

GEVO improves 3D mapping while minimizing memory use in mobile devices.

Improved knee exoskeletons enhance movement from sitting to standing during rehabilitation.

A new first-order variant of MAML enhances efficiency in meta-learning tasks.

Examining the key challenges and visual tools in quantum computing performance.

Discover Fenchel duality's applications and significance in optimization and analysis.

A new method enhances sample selection in semi-supervised learning.

This article covers techniques to enhance system stability through damping optimization.

Research focuses on optimizing nanoantennas to reduce back-scattering and improve light manipulation.