| Theoretical and numerical comparison of relaxation methods for mathematical programs with complementarity constraints T Hoheisel, C Kanzow, A Schwartz Mathematical Programming 137 (1), 257-288, 2013 | 271 | 2013 |
| Stationary conditions for mathematical programs with vanishing constraints using weak constraint qualifications T Hoheisel, C Kanzow Journal of Mathematical Analysis and Applications 337 (1), 292-310, 2008 | 112 | 2008 |
| First-and second-order optimality conditions for mathematical programs with vanishing constraints T Hoheisel, C Kanzow Applications of Mathematics 52 (6), 495-514, 2007 | 109 | 2007 |
| Exact penalty results for mathematical programs with vanishing constraints T Hoheisel, C Kanzow, JV Outrata Nonlinear Analysis: Theory, Methods & Applications 72 (5), 2514-2526, 2010 | 72 | 2010 |
| Mathematical programs with vanishing constraints T Hoheisel Ph. D. dissertation, Dept. Mathematics, Univ. Würzburg, Germany, 2009 | 70 | 2009 |
| Convergence of a local regularization approach for mathematical programmes with complementarity or vanishing constraints T Hoheisel, C Kanzow, A Schwartz Optimization Methods and Software 27 (3), 483-512, 2012 | 58 | 2012 |
| A smoothing-regularization approach to mathematical programs with vanishing constraints W Achtziger, T Hoheisel, C Kanzow Computational Optimization and Applications 55 (3), 733-767, 2013 | 55 | 2013 |
| Epi-convergent smoothing with applications to convex composite functions JV Burke, T Hoheisel SIAM Journal on Optimization 23 (3), 1457-1479, 2013 | 54 | 2013 |
| Generalized Newton’s method based on graphical derivatives T Hoheisel, C Kanzow, BS Mordukhovich, H Phan Nonlinear Analysis: Theory, Methods & Applications 75 (3), 1324-1340, 2012 | 39 | 2012 |
| Blind deblurring of barcodes via Kullback-Leibler divergence G Rioux, C Scarvelis, R Choksi, T Hoheisel, P Marechal IEEE transactions on pattern analysis and machine intelligence 43 (1), 77-88, 2019 | 37 | 2019 |
| Gradient consistency for integral-convolution smoothing functions JV Burke, T Hoheisel, C Kanzow Set-Valued and Variational Analysis 21 (2), 359-376, 2013 | 34 | 2013 |
| A regularization interpretation of the proximal point method for weakly convex functions T Hoheisel, M Laborde, A Oberman J. Dyn. Games 7 (1), 79-96, 2020 | 30 | 2020 |
| On a relaxation method for mathematical programs with vanishing constraints W Achtziger, C Kanzow, T Hoheisel GAMM‐Mitteilungen 35 (2), 110-130, 2012 | 30 | 2012 |
| Mathematical programs with vanishing constraints: a new regularization approach with strong convergence properties T Hoheisel, C Kanzow, A Schwartz Optimization 61 (6), 619-636, 2012 | 28 | 2012 |
| Epi-convergence properties of smoothing by infimal convolution JV Burke, T Hoheisel Set-Valued and Variational Analysis 25 (1), 1-23, 2017 | 26 | 2017 |
| Sufficient conditions for metric subregularity of constraint systems with applications to disjunctive and ortho-disjunctive programs M Benko, M Červinka, T Hoheisel Set-Valued and Variational Analysis 30 (1), 143-177, 2022 | 25 | 2022 |
| LASSO reloaded: a variational analysis perspective with applications to compressed sensing A Berk, S Brugiapaglia, T Hoheisel SIAM Journal on Mathematics of Data Science 5 (4), 1102-1129, 2023 | 21 | 2023 |
| On a smooth dual gap function for a class of quasi-variational inequalities N Harms, T Hoheisel, C Kanzow Journal of Optimization Theory and Applications 163 (2), 413-438, 2014 | 21 | 2014 |
| A study of convex convex-composite functions via infimal convolution with applications JV Burke, H Tim, QV Nguyen Mathematics of Operations Research 46 (4), 1324-1348, 2021 | 20 | 2021 |
| The maximum entropy on the mean method for image deblurring G Rioux, R Choksi, T Hoheisel, P Marechal, C Scarvelis Inverse Problems 37 (1), 015011, 2020 | 18 | 2020 |
Christian KanzowProfessor für Mathematik, Universität WürzburgVerified email at uni-wuerzburg.de
