期刊： OPTIMIZATION METHODS & SOFTWARE, ; ()
We consider the weighted linear complementarity problem (denoted by wLCP). Many numerical algorithms have been proposed for solving the monotone wLCP.......
期刊： OPTIMIZATION METHODS & SOFTWARE, ; ()
In order to generate properly efficient solutions of a general multiobjective optimization problem, a unified direction approach was introduced by Gha......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (5)
Training generative adversarial networks (GANs) often suffers from cyclic behaviours of iterates. Based on a simple intuition that the direction of ce......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (5)
In this paper, we consider a joint-inversion problem using different types of geophysical data: gravity and magnetism. We first formulate two kinds of......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (5)
This paper studies a class of two-stage distributionally robust optimization (TDRO) problems which comes from many practical application fields. In or......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (6)
A varying-parameter ZNN (VPZNN) neural design is defined for approximating various generalized inverses and expressions involving generalized inverses......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (6)
This paper proposes an algorithm for computing the maximum (or minimum) complementarity eigenvalues of tensors. We formulate this as proper polynomial......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (6)
Graph partitioning is an important method for accelerating large distributed graph computation. Streaming graph partitioning is more efficient than of......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (6)
In this paper, we propose an improved iteration superiorization method for X-ray computed tomography image reconstruction. We simplify the classic sup......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (6)
In this paper, a one-parameter class of three-term conjugate gradient methods is proposed for solving large-scale unconstrained optimization problem. ......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (1)
This research investigates the parallel-batching scheduling problems with a time-dependent learning effect where the job processing time is a decreasi......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (1)
Sdpnal+ is a MATLAB software package that implements an augmented Lagrangian based method to solve large scale semidefinite programming problems with ......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (4)
Canonical correlation analysis (CCA) is a cornerstone of linear dimensionality reduction techniques that jointly maps two datasets to achieve maximal ......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (4)
In this paper, we propose a framework of Inexact Proximal Stochastic Second-order (IPSS) method for solving nonconvex optimization problems, whose obj......
期刊： OPTIMIZATION METHODS & SOFTWARE, 2020; 35 (4)
In the network scheduling, jobs (tasks) must be scheduled on uniform machines (processors) connected by a complete graph so as to minimize the total w......
