We develop a Levenberg-Marquardt method for minimizing the sum of a smoo...
We consider the generalized successive overrelaxation (GSOR) method for
...
We consider the problem of training a deep neural network with nonsmooth...
The conjugate gradient (CG) method is a classic Krylov subspace method f...
We describe a procedure to compute a projection of w ∈ℝ^n into
the inter...
In this paper, we consider both first- and second-order techniques to ad...
We introduce an iterative method named GPMR for solving 2x2 block unsymm...
Algorithm NCL is designed for general smooth optimization problems where...
We propose a new stochastic variance-reduced damped L-BFGS algorithm, wh...
We introduce iterative methods named TriCG and TriMR for solving symmetr...
We build upon Estrin et al. (2019) to develop a general constrained nonl...
We develop a general equality-constrained nonlinear optimization algorit...
We introduce an iterative method named BiLQ for solving general square l...
We consider the iterative solution of regularized saddle-point systems. ...