Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.
Abstract: Crosstalk between two nonparallel striplines on adjacent layers is investigated. An equivalent per unit length model for nonparallel lines is developed based on multiconductor transmission ...
modOpt is a modular development environment and library for optimization algorithms, written in Python. It is a platform designed to support research and education in the field of numerical ...
A computational revolution unleashed the power of artificial neural networks. At the heart of that revolution is automatic differentiation, which calculates the derivative of a performance measure ...
Continuous quantitative monitoring of the change in mineral content during the bone healing process is crucial for efficient clinical treatment. Current radiography-based modalities, however, pose ...
Professor Liz Bentley, Chief Executive of the Royal Meteorological Society, will deliver the 2025 Distinguished Annual Edith Morley Seminar on Thursday 30th April at 3:00pm in Room 109, Palmer ...
Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...
The drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience. However, innovations in model form have been limited by methodological challenges. Here, we introduce ...
This study presents a parameter selection strategy developed for the Stretch-Blow Molding (SBM) process to minimize the weight of preforms used. The method is based on a predictive model developed ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results