| GPU computing with Kaczmarz’s and other iterative algorithms for linear systems JM Elble, NV Sahinidis, P Vouzis Parallel computing 36 (5-6), 215-231, 2010 | 92 | 2010 |
| Scaling linear optimization problems prior to application of the simplex method JM Elble, NV Sahinidis Computational Optimization and Applications 52, 345-371, 2012 | 37 | 2012 |
| A review of the LU update in the simplex algorithm JM Elble, NV Sahinidis International Journal of Mathematics in Operational Research 4 (4), 366-399, 2012 | 19 | 2012 |
| Computational experience with linear optimization and related problems JM Elble University of Illinois at Urbana-Champaign, 2010 | 9 | 2010 |
| Optimized disjunctive association rules via sampling J Elble, C Heeren, L Pitt Third IEEE International Conference on Data Mining, 43-50, 2003 | 7 | 2003 |
| A review of LU factorisation in the simplex algorithm JM Elble, NV Sahinidis International Journal of Mathematics in Operational Research 4 (4), 319-365, 2012 | 4 | 2012 |
| Sparse matrix binormalization on a GPU JM Elble, NV Sahinidis Proceedings of the 9th International Workshop on State-of-the-Art in …, 2008 | 3 | 2008 |
| Scaling linear programs: A comprehensive case study JM Elble University of Illinois at Urbana-Champaign, 2007 | 3 | 2007 |
| Direct Methods for Sparse Linear Systems JM Elble University of Illinois at Urbana-Champaign, 2007 | | 2007 |
