This book brings together groundbreaking research papers authored by distinguished experts and scholars. Each contribution delves into innovative aspects of splitting optimization—ranging from theoretical advancements and methodological developments to a diverse array of applications. The book offers readers a comprehensive and cohesive overview of the current state of splitting optimization, while inspiring continued research and innovation in this dynamic field.
A trust region based splitting method for optimization problems with
linear constraints.- Forward reflected backward method with extrapolation and
linesearch for monotone inclusion problem.- Fast adaptive ADMM with Gaussian
back substitution for multiple block linear constrainted seperable problems.-
Inertial alternating direction method of multipliers with
logarithmic-quadratic proximal regularization.- A class of augmented
Lagrangian-type algorithms for solving generalized Nash equilibrium problems.
Xiangfeng Wang is a full professor at East China Normal University.
Xingju Cai is a full professor Nanjing Normal University.
Deren Han is a full professor at Beihang University.
