Michael Hintermüller
Michael Hintermüller
Weierstrass Institute for Applied Analysis and Stochastics, and Humboldt-Universität zu Berlin
E-mail megerősítve itt: math.hu-berlin.de - Kezdőlap
Hivatkozott rá
Hivatkozott rá
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
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
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
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
Total bounded variation regularization as a bilaterally constrained optimization problem
K Kunisch, M Hintermüller
SIAM Journal on Applied Mathematics 64 (4), 1311-1333, 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
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
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
A mesh-independence result for semismooth Newton methods
M Hintermüller, M Ulbrich
Mathematical Programming 101, 151-184, 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
A second order shape optimization approach for image segmentation
M Hintermüller, W Ring
SIAM Journal on Applied Mathematics 64 (2), 442-467, 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
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
Electrical impedance tomography: from topology to shape
M Hintermuller, A Laurain
Control and Cybernetics 37 (4), 913-933, 2008
Second-order topological expansion for electrical impedance tomography
M Hintermüller, A Laurain, AA Novotny
Advances in Computational Mathematics 36, 235-265, 2012
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
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
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
A proximal bundle method based on approximate subgradients
M Hintermüller
Computational Optimization and Applications 20, 245-266, 2001
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
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