A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

This letter presents a novel variable-length least mean square algorithm, whose filter length is adjusted dynamically along the negative gradient direction of t ...

This paper investigates an online convex optimization problem on time-varying directed networks, where each agent holds its own convex cost function and the goal is to cooperatively minimize the sum ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. FBI: Vance Boelter went to other lawmakers' homes ...