The cooperation of multiple networked microgrids (MGs) can alleviate the mismatch problem
between distributed generation and demand and reduce the overall cost of the power …

In light of the soaring uptake of distributed energy resources, distributed methods are
attracting increased focus. This paper proposes an adaptive scheme to improve the …

Motivated by big data applications, first-order methods have been extremely popular in
recent years. However, naive gradient methods generally converge slowly. Hence, much …

We apply the alternating direction method of multipliers (ADMM) optimization algorithm to
implicit time integration of elastic bodies, and show that the resulting method closely relates …

The alternating direction method of multipliers (ADMM) is commonly used for distributed
model fitting problems, but its performance and reliability depend strongly on user-defined …

The alternating direction method of multipliers (ADMM) is a popular approach for solving
optimization problems that are potentially non-smooth and with hard constraints. It has been …

We apply the alternating direction method of multipliers (ADMM) optimization algorithm to
implicit time integration of elastic bodies, and show that the resulting method closely relates …

The alternating direction method of multipliers (ADMM) is one of the most widely used first-
order optimisation methods in the literature owing to its simplicity, flexibility and efficiency …

In this paper, we propose a distributed Newton method for decenteralized optimization of
large sums of convex functions. Our proposed method is based on creating a set of …

Conic optimization is the minimization of a differentiable convex objective function subject to
conic constraints. We propose a novel primal–dual first-order method for conic optimization …