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Tim Hoheisel
Tim Hoheisel
Department of Mathematics and Statistics, McGill University
Potvrđena adresa e-pošte na mcgill.ca - Početna stranica
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Citirano
Citirano
Godina
Theoretical and numerical comparison of relaxation methods for mathematical programs with complementarity constraints
T Hoheisel, C Kanzow, A Schwartz
Mathematical Programming 137, 257-288, 2013
2512013
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
1052008
First-and second-order optimality conditions for mathematical programs with vanishing constraints
T Hoheisel, C Kanzow
Applications of Mathematics 52 (6), 495-514, 2007
1002007
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
672010
Mathematical programs with vanishing constraints
T Hoheisel
Universität Würzburg, 2009
622009
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
542012
A smoothing-regularization approach to mathematical programs with vanishing constraints
W Achtziger, T Hoheisel, C Kanzow
Computational Optimization and Applications 55, 733-767, 2013
512013
Epi-convergent smoothing with applications to convex composite functions
JV Burke, T Hoheisel
SIAM Journal on Optimization 23 (3), 1457-1479, 2013
482013
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
352019
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
332012
Gradient consistency for integral-convolution smoothing functions
JV Burke, T Hoheisel, C Kanzow
Set-Valued and Variational Analysis 21 (2), 359-376, 2013
282013
On a relaxation method for mathematical programs with vanishing constraints
W Achtziger, C Kanzow, T Hoheisel
GAMM‐Mitteilungen 35 (2), 110-130, 2012
272012
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
252012
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, 1-35, 2022
222022
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
222020
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, 413-438, 2014
222014
Epi-convergence properties of smoothing by infimal convolution
JV Burke, T Hoheisel
Set-Valued and Variational Analysis 25, 1-23, 2017
192017
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
172021
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
162020
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
152023
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