Eran Treister is studying for his PhD in Computer Science at the Technion – Israel Institute of Technology. His research features the development of algebraic multigrid methods for solving large linear and non-linear systems of equations, arising from complex and common problems met by engineers and scientists on a regular basis. His main goal is to expand the applicability of algebraic multigrid methods, while focusing on adaptive aggregation-based multigrid approaches.
• Eran Treister and Irad Yavneh. 2012. A Multilevel Iterated-Shrinkage Approach to l-1 Penalized Least-Squares Minimization. IEEE Transactions on Signal Processing 60: 6319-6329.
• Hans De Sterck, Killian Miller, Eran Treister and Irad Yavneh. 2011. Fast Multilevel Methods for Markov-Chains. Numerical Linear Algebra with Applications 18 (6): 961-980.
• Eran Treister and Irad Yavneh. 2011. On-the-fly Adaptive Smoothed Aggregation Multigrid for Markov-Chains. SIAM Journal on Scientific Computing 33: 2927-2949.
• Eran Treister and Irad Yavneh. 2010. Square and Stretch Multigrid for Stochastic Matrix Eigen-problems. Numerical Linear Algebra with Applications 17: 229-251.