The primal-dual active set strategy as a semismooth Newton method M Hintermüller, K Ito, K Kunisch SIAM Journal on Optimization 13 (3), 865-888, 2002 | 1275 | 2002 |
Handbook of Numerical Analysis: Solution of Equations in Rn (Part 4), Techniques of Scientific Computer (Part 4), Numerical Methods for Fluids (Part 2) PG Ciarlet, JL Lions Gulf Professional Publishing, 1990 | 652 | 1990 |
A Comparison of a Moreau--Yosida-Based Active Set Strategy and Interior Point Methods for Constrained Optimal Control Problems M Bergounioux, M Haddou, M Hintermüller, K Kunisch SIAM Journal on Optimization 11 (2), 495-521, 2000 | 208* | 2000 |
An infeasible primal-dual algorithm for total bounded variation--based inf-convolution-type image restoration M Hintermüller, G Stadler SIAM Journal on Scientific Computing 28 (1), 1-23, 2006 | 196 | 2006 |
Total bounded variation regularization as a bilaterally constrained optimization problem K Kunisch, M Hintermüller SIAM Journal on Applied Mathematics 64 (4), 1311-1333, 2004 | 185 | 2004 |
Automated regularization parameter selection in multi-scale total variation models for image restoration Y Dong, M Hintermüller, MM Rincon-Camacho Journal of Mathematical Imaging and Vision 40, 82-104, 2011 | 180 | 2011 |
Path-following methods for a class of constrained minimization problems in function space M Hintermüller, K Kunisch SIAM Journal on Optimization 17 (1), 159-187, 2006 | 157 | 2006 |
Feasible and noninterior path-following in constrained minimization with low multiplier regularity M Hintermüller, K Kunisch SIAM Journal on Control and Optimization 45 (4), 1198-1221, 2006 | 157 | 2006 |
A mesh-independence result for semismooth Newton methods M Hintermüller, M Ulbrich Mathematical Programming 101, 151-184, 2004 | 149 | 2004 |
Mathematical programs with complementarity constraints in function space: C-and strong stationarity and a path-following algorithm M Hintermüller, I Kopacka SIAM Journal on Optimization 20 (2), 868-902, 2009 | 140 | 2009 |
A second order shape optimization approach for image segmentation M Hintermüller, W Ring SIAM Journal on Applied Mathematics 64 (2), 442-467, 2004 | 130 | 2004 |
An a posteriori error analysis of adaptive finite element methods for distributed elliptic control problems with control constraints M Hintermüller, RHW Hoppe, Y Iliash, M Kieweg ESAIM: Control, Optimisation and Calculus of Variations 14 (3), 540-560, 2008 | 127 | 2008 |
An Efficient Primal-Dual Method for TV Image Restoration Y Dong, M Hintermüller, M Neri SIAM Journal on Imaging Sciences 2 (4), 1168-1189, 2009 | 121 | 2009 |
Electrical impedance tomography: from topology to shape M Hintermuller, A Laurain Control and Cybernetics 37 (4), 913-933, 2008 | 114 | 2008 |
Nonconvex TV-Models in Image Restoration: Analysis and a Trust-Region Regularization--Based Superlinearly Convergent Solver M Hintermüller, T Wu SIAM Journal on Imaging Sciences 6 (3), 1385-1415, 2013 | 109 | 2013 |
Second-order topological expansion for electrical impedance tomography M Hintermüller, A Laurain, AA Novotny Advances in Computational Mathematics 36, 235-265, 2012 | 108 | 2012 |
Moreau–Yosida regularization in state constrained elliptic control problems: error estimates and parameter adjustment M Hintermüller, M Hinze SIAM Journal on Numerical Analysis 47 (3), 1666-1683, 2009 | 101 | 2009 |
A proximal bundle method based on approximate subgradients M Hintermüller Computational Optimization and Applications 20, 245-266, 2001 | 96 | 2001 |
An Efficient Two-Phase -TV Method for Restoring Blurred Images with Impulse Noise RH Chan, Y Dong, M Hintermüller IEEE Transactions on Image Processing 19 (7), 1731-1739, 2010 | 95 | 2010 |
Spatially dependent regularization parameter selection in total generalized variation models for image restoration K Bredies, Y Dong, M Hintermüller International Journal of Computer Mathematics 90 (1), 109-123, 2013 | 94 | 2013 |