Now showing items 11-14 of 14
An Efficient Augmented Lagrangian Method with Applications to Total Variation Minimization
Based on the classic augmented Lagrangian multiplier method, we propose, analyze and test an algorithm for solving a class of equality-constrained non-smooth optimization problems (chiefly but not necessarily convex programs) ...
Convergence of a Class of Stationary Iterative Methods for Saddle Point Problems
A unified convergence result is derived for an entire class of stationary iterative methods for solving equality constrained quadratic programs or saddle point problems. This class is constructed from essentially all ...
A Compressive Sensing and Unmixing Scheme for Hyperspectral Data Processing
Hyperspectral data processing typically demands enormous computational resources in terms of storage, computation and I/O throughputs, especially when real-time processing is desired. In this paper, we investigate a ...
An Alternating Direction and Projection Algorithm for Structure-enforced Matrix Factorization
Structure-enforced matrix factorization (SeMF) represents a large class of mathematical models ap- pearing in various forms of principal component analysis, sparse coding, dictionary learning and other machine learning ...