no code implementations • 26 May 2022 • Nima Dehmamy, Csaba Both, Jianzhi Long, Rose Yu
In mathematical optimization, second-order Newton's methods generally converge faster than first-order methods, but they require the inverse of the Hessian, hence are computationally expensive.
no code implementations • 29 Sep 2021 • Nima Dehmamy, Csaba Both, Jianzhi Long, Rose Yu
We tackle the problem of accelerating certain optimization problems related to steady states in ODE and energy minimization problems common in physics.
