Latest Articles for Optimization

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.

A fresh look at optimization challenges involving probabilities.

This new method improves communication safety through adjustable antennas in wireless networks.

A look into how stochastic drift influences decision-making and optimization.

This method enhances shape representation and performance prediction in design.

OIDD enhances soft robot design for better adaptability and performance.

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

New algorithms enhance sampling from known and unknown distributions for practical applications.

This method enhances understanding of model behavior through input-output relationships.

This article discusses new methods improving deep learning performance using nonlocal derivatives.

E-graphs streamline program optimization by managing multiple equivalent representations.

ARCO enhances deep learning model performance through intelligent hardware and software collaboration.

Anvil simplifies design optimization by integrating CAD, CFD, and AI techniques.

Research on acoustic lenses enhances underwater communication and marine monitoring.

An overview of the Choquard equation and its applications in physics and mathematics.

Discover how process mining improves efficiency and decision-making for organizations.

A new approach enhances CSG modeling using fuzzy logic for smoother transitions.

Exploring the potential of quantum algorithms for complex optimization tasks.

Funplex improves efficiency in energy systems modeling and stakeholder engagement.

Control theory enhances optimization methods for better system performance across various fields.

This framework enhances data science efficiency by converting Python code to SQL.