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- [2] Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training Computational Optimization and Applications, 2018, 71 : 115 - 145
- [4] Sequential smoothing framework for convex-concave saddle point problems with application to large-scale constrained optimization 2017 55TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2017, : 1176 - 1183
- [5] A Simple and Exact Algorithm to Solve l1 Linear Problems Application to the Compressive Sensing Method VISAPP: PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL 4: VISAPP, 2018, : 54 - 62
- [6] A new gradient-based neural dynamic framework for solving constrained min-max optimization problems with an application in portfolio selection models Applied Intelligence, 2019, 49 : 396 - 419