Recently, alternating direction method of multipliers (ADMM) attracts much attentions from
various fields and there are many variant versions tailored for different models. Moreover, its …

Independent system operators (ISO) and regional transmission organizations (RTO) adopt
centralized optimization approaches for the optimal operation of power systems, which …

Broad Learning System (BLS) that aims to offer an alternative way of learning in deep
structure is proposed in this paper. Deep structure and learning suffer from a time …

This paper resolves a longstanding open question pertaining to the design of near-optimal
first-order algorithms for smooth and strongly-convex-strongly-concave minimax problems …

In recent years, the rapid growth of active consumers in the distribution networks transforms
the modern power markets' structure more independent, flexible, and distributed …

Alternating direction method of multiplier (ADMM) is a widely used algorithm for solving
constrained optimization problems in image restoration. Among many useful features, one …

Underwater captured images are usually degraded by low contrast, hazy, and blurry due to
absorbing and scattering, which limits their analyses and applications. To address these …

A large number of imaging problems reduce to the optimization of a cost function, with
typical structural properties. The aim of this paper is to describe the state of the art in …

The alternating direction method of multipliers (ADMM) is widely used to solve large-scale
linearly constrained optimization problems, convex or nonconvex, in many engineering …

Underwater image quality is seriously degraded due to the insufficient light in water.
Although artificial illumination can assist imaging, it often brings non-uniform illumination …