• Jianchao Bai, William W. Hager, and Hongchao Zhang, An Inexact Accelerated Stochastic ADMM for Separable Convex Optimization, Computational Optimization and Applications, DOI 10.1007/s10589-021-00338-8.
• William W. Hager and Hongchao Zhang, Convergence Rates for an Inexact ADMM applied to Separable Convex Optimization, Computational Optimization and Applications, 77 (2020), 729-754 (DOI 10.1007/s10589-020-00221-y).
• William W. Hager and Hongchao Zhang , Inexact Alternating Direction Multiplier Methods for Separable Convex Optimization, Computational Optimization and Applications, 73 (2019), 201-235 (DOI 10.1007/s10589-019-00072-2).
• William W. Hager, Cuong Ngo, Maryam Yashtini, and Hongchao Zhang , Alternating Direction Approximate Newton Method for Partially Parallel Imaging, Journal of Operations Research Society of China, 3 (2015), pp. 139-162 (DOI 10.1007/s40305-015-0078-y).
• William W. Hager, Dzung T. Phan, and Jiajie Zhu, Projection Algorithms for Nonconvex Minimization with Application to Sparse Principal Component Analysis, Journal of Global Optimization, 65 (2016), pp. 657-676 (DOI 10.1007/s10898-016-0402-z).
• William W. Hager, Maryam Yashtini, Hongchao Zhang, An O(1/k) Convergence Rate for the Variable Stepsize Bregman Operator Splitting Algorithm, SIAM Journal on Numerical Analysis, 54 (2016) 1535–1556 (doi 10.1137/15100401X)
• PPI Brain Scans
• Yunmei Chen, William W. Hager, Maryam Yashtini, Xiaojing Ye, and Hongchao Zhang, Bregman Operator Splitting with Variable Stepsize (BOSVS) for Total Variation Image Reconstruction, Computational Optimization and Applications, 54 (2013), pp. 317-342 (10.1007/s10589-012-9519-2).
• Maryam Yashtini, William W. Hager, Yunmei Chen, and Xiaojing Ye, Partially parallel MR image reconstruction using sensitivity encoding, 2012 IEEE International Conference on Image Processing, Orlando, pp. 2077-2080.
• Yunmei Chen, William W. Hager, Feng Huang, Dzung T. Phan, Xiaojing Ye, and Wotao Yin, Fast Algorithms for Image Reconstruction with Application to Partially Parallel MR Imaging, SIAM Journal on Imaging Sciences, 5 (2012), pp. 90-118.
• W. W. Hager, D. T. Phan, and H. Zhang, Gradient-based methods for sparse recovery, SIAM Journal on Imaging Sciences, 4 (2011), pp. 146-165.
• GNU GENERAL PUBLIC LICENSE