Latest Articles for Optimization

A new approach to optimize systems using Signal Temporal Logic.

Learn about IPMs and how MLMC enhances their performance across various applications.

Explore the balance of forecasting and optimization in energy systems management.

A look at how algebraic curves enhance data predictions across various fields.

A new benchmarking suite improves compiler autotuning efficiency and effectiveness.

A new method integrates ride-sharing with public transport for better efficiency.

New methods reduce temporary results in complex aggregate queries.

A new method improves identification of switched linear systems through robust techniques.

Explore the significance of stability in Runge-Kutta methods for solving differential equations.

AFBench offers a vast dataset for improved airfoil design techniques.

Task fusion enhances performance in distributed computing through efficient task management.

New models improve software code efficiency and compiler performance.

A look into how Ising machines enhance optimization techniques.

A new approach to solve the Maximum Independent Set problem without training data.

New strategies improve optimization in uncertain environments.

PointTree offers an innovative solution for accurately reconstructing neuron connections in the brain.

New methods improve SVM performance in hyperbolic spaces for complex data.

A new approach optimizes kernel performance utilizing Ansor and Droplet Search.

Exploring the dynamics of centralized and decentralized learning methods.

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

New methods improve efficiency and performance in fusion devices.

This article discusses optimization in Wasserstein space with a focus on complex probability measures.

A new method enhances B&B algorithms for L0-regularization problems.

This study examines resilience in biological feedback systems under chemical changes.

A method to mathematically represent plane graphs for simulations.

Using UAVs to monitor and track wildfires effectively.

Exploring the relationship between two key mathematical concepts in optimization.

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

ALPS streamlines the design of photonic surfaces using machine learning.

A new framework ensures compiler optimizations maintain program correctness.

A look at unreachable code and its impact on programming efficiency.

Discover the N-Queens puzzle and its significance in mathematics and computer science.

Research focuses on improving brain model accuracy through innovative simulation techniques.

A framework for improving carbon dioxide injection strategies in underground storage.

This study examines variational inference using fixed-variance Gaussian mixtures.

New methods enhance control system performance amidst uncertainties.

Innovative approach to create effective acquisition functions for Bayesian optimization.

A fresh approach enhances drug candidate generation and effectiveness in pharmaceutical research.

Learn how path planning enhances farming operations with smoother vehicle navigation.

New method improves optimization in machine learning with efficient training.