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.

TSFitPy is a pipeline designed to determine stellar abundances and atmospheric parameters through the use of Nelder-Mead (simplex algorithm) minimization. It calculates model spectra "on the fly" ...

Process integration and optimization are important areas within process system engineering. It identifies targets and utilizes synergies in the overall production process, and minimizes the ...

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 ...

Amoeba is a bare chess engine designed to communicate with a chess GUI (like xboard/winboard, arena, ...) via the UCI protocol. For example, xboard -fcp amoeba-fd installation directory-fUCI with: ...

Fluorescence-lifetime single molecule localization microscopy (FL-SMLM) adds the lifetime dimension to the spatial super-resolution provided by SMLM. Independent of intensity and spectrum, this ...

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 ...