An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization

Björn Engquist, Kui Ren, Yunan Yang

We propose a new gradient descent algorithm with added stochastic terms for finding the global optimizers of nonconvex optimization problems. A key component in the algorithm is th…