We consider large-scale nonlinear least squares problems with sparse
res...
We consider a standard distributed consensus optimization problem where ...
We consider constrained optimization problems with a nonsmooth objective...
We study the use of inverse harmonic Rayleigh quotients with target for ...
We propose a stochastic first-order trust-region method with inexact fun...
We consider unconstrained optimization problems with nonsmooth and conve...
Deep neural networks (DNNs) have proven to be powerful tools for process...
We develop a line-search second-order algorithmic framework for optimiza...
We present a class of iterative fully distributed fixed point methods to...