Relaxation Parameter

Relaxation parameters, crucial in various scientific fields, describe the rate at which a system approaches equilibrium. Current research focuses on optimizing these parameters within different models, including Thompson Sampling for multi-armed bandits, ADMM (Alternating Direction Method of Multipliers) for linear quadratic problems, and diffusion models for molecular generation and electronic structure calculations. Improved parameter estimation leads to more accurate and efficient algorithms across diverse applications, ranging from machine learning and image processing to materials science and biophysics.