The SFB program expired on September 30, 2008. For the link to the successor project click DK Computational Mathematics
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Publications of the Project F1308
September 27, 2008

Bibliography

1
B. Akers, S. Bohun, P. Gibson, A. Hofinger, M. Lamoureux, J. Lobb, and M. Roberts.
General statistical design of an experimental problem for harmonics.
In Proceedings of the Eighth PIMS MITACS Industrial Problem Solving Workshop, 2004.
2
J. Baumeister and A. Leitao.
Iterative methods for ill-posed problems modeled by PDE's.
Journal of Inverse and Ill-Posed Problems, 9(1):1-17, 2001.
3
J. Baumeister and A. Leitao.
Optimal exploitation of renewable resource stocks: Necessary conditions.
SFB-Report 00-36, SFB F013, J. Kepler University Linz, University Linz, 2001.
4
H. Benameur, M. Burger, and B. Hackl.
Level set methods for inverse problems in linear elasticity.
SFB-Report 2003-12, University Linz, 2003.
5
H. Benameur, M. Burger, and B. Hackl.
On some inverse problems in linear elasticity.
CAM-Report 03-55, UCLA, 2003.
6
H. Benameur, M. Burger, and B. Hackl.
Level set methods for geometric inverse problems in linear elasticity.
Inverse Problems, 20(3):673-696, 2004.
7
H. Benameur, M. Burger, and B. Hackl.
Cavity identification in linear elasticity and thermoelasticity.
Mathematical Methods in the Applied Sciences, 30(6):625-647, 2007.
8
H. Benameur and B. Kaltenbacher.
Regularization of parameter estimation by adaptive discretization using refinement and coarsening indicators.
Journal of Inverse and Ill-Posed Problems, 10(6):561-583, 2002.
9
B. Berkels, M. Burger, M. Droske, O. Nemitz, and M. Rumpf.
Cartoon extraction based on anisotropic image classification.
In Vision, Modelling and Visualization Proceedings, 2006.
10
N. Bila.
Application of symmetry analysis to a pde arising in the car windshield design.
SIAM Journal on Applied Mathematics, 65:113-130, 2004.
11
N. Bila and J. Niesen.
On a new procedure for finding nonclassical symmetries.
Journal of Symbolic Computation, 38:1523-1533, 2004.
12
M. Burger.
Mathematical models and methods in polymer processing.
Master's thesis, Johannes Kepler University Linz, 1998.
13
M. Burger.
Macroscopic models and identification of parameters in non-isothermal crystallization.
Polymer Days, Workshop of the ECMI Special Interest Group on Polymers, Milano, Italy, February 26-27 1999.
14
M. Burger.
Modelling multi-dimensional crystallization of polymers in interaction with heat transfer.
4th International Conference on Industrial and Applied Mathematics, Edinburgh, UK, July 4-9 1999.
15
M. Burger.
Training of neural networks as a regularization method.
SFB-Workshop Symbolic and Numerical Scientific Computation, Hagenberg, August 18-20 1999.
16
M. Burger.
Direct and Inverse Problems in Polymer Crystallization Processes.
PhD thesis, University of Linz, 2000.
17
M. Burger.
Identification of doping profiles in semiconductor devices.
TMR-Workshop on Advances in Mathematical Semiconductor Modelling, Pavia., September 2000.
18
M. Burger.
Identification of nucleation rates from temperature measurement.
ECMI 2000, Palermo. Minisymposium Mathematics of Polymers, September 2000.
19
M. Burger.
Inverse problems for semiconductor devices.
15th Congress of the Austrian Mathematical Society, Vienna, Austria, September 2001.
20
M. Burger.
Iterative regularization of a parameter identification problem occurring in polymer crystallization.
SIAM J. Numer. Anal., 39(3):1029-1055, 2001.
21
M. Burger.
A level set method for inverse problems.
Inverse Problems, 17:1327-1356, 2001.
22
M. Burger.
A framework for the construction of level set methods for shape reconstruction and optimization.
SFB-Conference ``Computational Methods for Inverse Problems'', Strobl, August 2002.
23
M. Burger.
A framework for the construction of level set methods for shape reconstruction and optimization.
Geometrically based motions, Reunion Conference, Lake Arrowhead, USA, September 2002.
24
M. Burger.
Growth and impingement in polymer melts.
Invited talk at the Minisymposium ``Free Boundary Problems in Polymers'' at the Conference ``Free Boundary Problems'', Trento, June 2002.
25
M. Burger.
Growth fronts of first-order Hamilton-Jacobi equations.
SFB Report 02-8, University Linz, 2002.
26
M. Burger.
Level set methods in material sciences and inverse problems.
University Graz, October 2002.
27
M. Burger.
All-at-once approaches for parameter identification problems: iterative regularization by SQP methods.
Invited talk at the minisymposium ``Computational Inverse Problems'' at the SIAM 50th Annual Meeting, Philadelphia, USA, July 2003.
28
M. Burger.
Fast level set based optimization techniques.
IPAM Workshop ``Level Set Methods for Inverse Problems and Optimal Design'', UCLA, November 2003.
29
M. Burger.
Fast level set based optimization techniques.
Workshop ``Level Set Methods for Inverse Problems and Optimal Design'', Los Angeles, 2003.
30
M. Burger.
Fast optimal design.
Invited minisymposium talk at the conference ``Applied Inverse Problems'', Lake Arrowhead, May 2003.
31
M. Burger.
A framework for the construction of level set methods for shape optimization and reconstruction.
Interfaces and Free Boundaries, 5:301-329, 2003.
32
M. Burger.
Growth and impingement in polymer melts.
In P. Colli et al., editors, Free Boundary Problems, pages 65-74. Birkhäuser Basel, 2003.
33
M. Burger.
Level set methods for inverse obstacle problems.
Invited minisymposium talk at ICAM 2003, Sydney, July 2003.
34
M. Burger.
Level set methods for inverse obstacle problems.
3 Tutorial Talks at the IPAM Special Semester ``Inverse Problems'', UCLA,, September 2003.
35
M. Burger.
Model reduction for semiconductor inverse dopant profiling.
Invited minisymposium talk at 4th IMACS Symposium on Mathematical Modelling, Vienna, February 2003.
36
M. Burger.
Nonlocal geometric motion.
IPAM Workshop ``Geometrically Based Motions 2'', Lake Arrohead, CA, December 2003.
37
M. Burger.
Nonlocal geometric motion.
Workshop Geometrically Based Motions 2, Lake Arrowhead, CA, 2003.
38
M. Burger.
Nonlocal geometric motions for growth processes and inverse problems.
Invited minisymposium talk at the conference ``Applied Inverse Problems'', Lake Arrowhead, May 2003.
39
M. Burger.
Numerical simulation of anisotropic surface diffusion with curvature-dependent energy.
CAM-Report 04-06, Department of Mathematics, UCLA, 2003.
40
M. Burger.
Weak solutions for the mean curvature flow of planar graphs.
SFB-Report 03-01, SFB F 013, University Linz, 2003.
41
M. Burger.
Anisotropic interface dynamics with curvature regularization.
Universität Duisburg-Essen, 2004.
42
M. Burger.
Fast level set based optimization techniques.
Applied Mathematics Colloquium, UC Irvine, March 2004.
43
M. Burger.
Fast optimal design of semiconductor devices.
Joint APAM / IEOR Colloquium, Columbia University, New York, February 2004.
44
M. Burger.
Growth of multiple crystals in polymer melts.
European J. Appl. Math., 15:347-363, 2004.
45
M. Burger.
Interface motion with strong anisotropies.
Conference INTERPHASE 2004, Rome, 2004.
46
M. Burger.
Inverse dopant profiling in semiconductor devices.
Invited Minisymposiom Talk at Conference EUCCO 2004, Dresden, 2004.
47
M. Burger.
Inverse problems in semiconductor devices.
Exploratory Workshop on Ion Channels, Linz, 2004.
48
M. Burger.
Iterated regularization based on Bregman distances.
Image Processing Colloquium, UCLA, March 2004.
49
M. Burger.
Level set methods for direct and inverse obstacle problems.
Universität Wien, 2004.
50
M. Burger.
Levenberg-Marquardt level set methods for inverse obstacle problems.
Inverse Problems, 20:259-282, 2004.
51
M. Burger.
Numerical methods for anisotropic surface diffusion.
Conference on Free Boundary Problems, Montecatini, Italy, 2004.
52
M. Burger.
Optimal design of semiconductor and nano devices.
PACM Colloquium, Princeton University, February 2004.
53
M. Burger.
Optimal design of semiconductor and nano devices.
CAM Colloquium, University of Southern California, Los Angeles, March 2004.
54
M. Burger.
Optimal design of semiconductor and nano devices.
Universität Erlangen-Nürnberg, 2004.
55
M. Burger.
Optimal design of semiconductor and nano devices.
TU Dresden, 2004.
56
M. Burger.
Surface diffusion including adatoms.
Stiftung CAESAR, Bonn, 2004.
57
M. Burger.
BV / Level set relaxation of topology optimization problems.
Invited minisymposium talk at GAMM 2005, Luxemburg, 2005.
58
M. Burger.
The choice of regularization functionals in inverse problems and imaging.
Workshop on Symmetries, Inverse Problems, and Imaging, Linz, 2005.
59
M. Burger.
Level set methods for shape optimization and reconstruction.
Plenary talk at ALGORITMY 2005, Podbanske, SK., 2005.
60
M. Burger.
Parameter identification in partial differential equations.
6 lectures at the Winter school on inverse problems, Geilo, Norway, 2005.
61
M. Burger.
Regularization and Numerical Solution of Inverse Problems in Shape Reconstruction, Semiconductor Modelling, Learning Theory, and Image Restoration.
Habilitation thesis, Johannes Kepler University Linz, 2005.
62
M. Burger.
Some aspects of surface diffusion.
University Oslo, 2005.
63
M. Burger.
Surface diffusion including free adatoms.
Comm. Math. Sci., 4:1-51, 2006.
64
M. Burger, U. Bodenhofer, and J. Haslinger.
Data-driven construction of Sugeno controllers: Analytical aspects and new numerical methods.
In Proc. Joint 9th IFSA World Congress and 20th NAFIPS Int. Conf., pages 239-244, Vancouver, July 2001.
65
M. Burger and V. Capasso.
Mathematical modelling and simulation of non-isothermal crystallization of polymers.
Mathematical Models and Methods in Applied Sciences, 11:1029-1054, 2001.
66
M. Burger, V. Capasso, and G. Eder.
Modelling crystallization of polymers in temperature fields.
Z. Angew. Math. Mech., 82:51-63, 2002.
67
M. Burger, V. Capasso, G. Eder, and H. W. Engl.
Modelling and parameter identification in nonisothermal crystallization of polymers.
In L. Arkeryd et al., editors, Progress in Industrial Mathematics at ECMI 98, pages 114-121. Teubner, Stuttgart, Leipzig, 1999.
68
M. Burger, V. Capasso, and H. W. Engl.
Inverse problems related to crystallization of polymers.
Inverse Problems, 15:155-173, 1999.
69
M. Burger, V. Capasso, and A. Micheletti.
Mathematical modelling of the crystallization process of polymers.
In E. A. Lipitakis, editor, Proceedings of the 5th Helenic European Conference on Computer Mathematics and its Applications (LEA, Athens, 2002), pages 51-63, 2001.
Repreint in HERMIS International Journal 3(2003), 135-164.
70
M. Burger, V. Capasso, and A. Micheletti.
Optimal control of polymer morphologies.
J. Eng. Math., 49:339-358, 2004.
71
M. Burger, V. Capasso, and A. Micheletti.
An extension of the Avrami-Kolmogorov formula to inhomogeneous birth-and-growth processes.
In G. Aletti et al., editors, Deterministic and Stochastic Modelling in Biomedicine, Economics and Industry, pages 63-76. Springer, 2006.
72
M. Burger, V. Capasso, and D. Morale.
On an aggregation model with long and short range interactions.
CAM-Report 03-30, Department of Mathematics, UCLA, 2003.
73
M. Burger, V. Capasso, and L. Pizzocchero.
Mesoscale averaging of nucleation and growth models.
Multiscale Model. Simul., 5(2):564-592, 2006.
74
M. Burger, V. Capasso, and S. Salani.
Modelling multi-dimensional crystallization of polymers in interaction with heat transfer.
Nonlinear Analysis, Series B, Real World Applications, 3:139-160, 2002.
75
M. Burger and H. W. Engl.
Training neural networks with noisy data as an ill-posed problem.
Advances in Computational Mathematics, 13:335-354, 2000.
76
M. Burger, H. W. Engl, J. Haslinger, and U. Bodenhofer.
Regularized data-driven construction of fuzzy controllers.
J. Inverse and Ill-posed Problems, 10:319-344, 2002.
77
M. Burger, H. W. Engl, A. Leitao, and P. Markowich.
On inverse problems for semiconductor equations.
Milan J. Math., 72:273-314, 2004.
78
M. Burger, H. W. Engl, and P. Markowich.
Inverse doping problems for semiconductor devices.
In Recent Progress in Computational and Applied PDEs, pages 27-38. Kluwer Academic/Plenum Publishers, 2002.
79
M. Burger, H. W. Engl, P. A. Markowich, and P. Pietra.
Identification of doping profiles in semiconductor devices.
Inverse Problems, 17:1765-1795, 2001.
80
M. Burger, K. Frick, S. Osher, and O. Scherzer.
Inverse total variation flow.
Multiscale Model. Simul., 6(2):366-395, 2007.
81
M. Burger, G. Gilboa, S. Osher, and J. Xu.
Nonlinear inverse scale space methods.
Commun. Math. Sci, 4(1):179-212, 2006.
82
M. Burger and B. Hackl.
Level set methods for geometric inverse problems.
Inverse Problems Workshop, Obergurgl, Austria, April 2005.
83
M. Burger, B. Hackl, and W. Ring.
Incorporating topological derivatives into level set methods.
CAM-Report 03-46, UCLA, 2003.
84
M. Burger, B. Hackl, and W. Ring.
Incorporating topological derivatives into level set methods.
J. Comp. Phys., 194(1):344-362, 2004.
85
M. Burger, J. Haslinger, and U. Bodenhofer.
Regularized optimization of fuzzy controllers.
Sfb-report 01-9, SFB F 013, University of Linz, 2001.
86
M. Burger, F. Hausser, C. Stöcker, and A. Voigt.
A level set approach to anisotropic flows with curvature regularization.
J. Comp. Phys, 2007.
to appear.
87
M. Burger and M. Hintermueller.
Projected gradient flows for bv / level set relaxation.
PAMM, 5:11-14, 2005.
88
M. Burger and A. Hofinger.
Regularized greedy algorithms for neural network training with data noise.
03-04, Johannes Kepler University Linz, Spezialforschungsbereich SFB013, April 2003.
89
M. Burger and A. Hofinger.
Regularized greedy algorithms for network training with data noise.
Computing, 74(1):1-22, 2005.
90
M. Burger and B. Kaltenbacher.
Regularizing Newton-Kaczmarz methods for nonlinear ill-posed problems.
SIAM J. Numer. Anal., 44:153-182., 2006.
91
M. Burger, E. Lindner, and W. Mühlhuber.
Automatic differentiation and optimal sizing of industrial components.
Optimization 2001, Aveiro, Portugal, July 2001.
92
M. Burger, E. Lindner, and W. Mühlhuber.
Optimal sizing of industrial components.
2001 SIAM Annual Meeting, San Diego, Ca, July 2001.
93
M. Burger and P. Markowich.
Model reduction for semiconductor inverse dopant profiling.
In I. Troch and F. Breitenecker, editors, Proceedings of the 4th IMACS Symposium on Mathematical Modelling. CD-Rom, Technical University Vienna, 2003.
94
M. Burger and W. Mühlhuber.
Iterative regularization of parameter identification problems by SQP methods.
SFB Report 01-18, SFB F013, University Linz, 2001.
95
M. Burger and W. Mühlhuber.
Numerical approximation of an SQP-type method for parameter identification.
SFB Report 01-19, SFB F013, University Linz, 2001.
96
M. Burger and W. Mühlhuber.
Simultaneous SQP-methods for parameter identification problems.
SFB-Workshop, Strobl, Austria, June 2001.
97
M. Burger and W. Mühlhuber.
Iterative regularization of parameter identification problems by SQP-methods.
Inverse Problems, 18:943-970, 2002.
98
M. Burger and W. Mühlhuber.
Numerical approximation of an SQP-type method for parameter identification.
SIAM J. Numer. Anal., 40(5):1775-1797, 2002.
99
M. Burger and A. Neubauer.
Error bounds for approximation with neural networks.
Journal of Approximation Theory, 112:235-250, 2001.
100
M. Burger and A. Neubauer.
Analysis of Tikhonov regularization for function approximation by neural networks.
Neural Networks, 16:79-90, 2003.
101
M. Burger and S. Osher.
Convergence rates of convex variational regularization.
CAM-Report 04-10, Department of Mathematics, UCLA, 2003.
102
M. Burger and S. Osher.
A survey on level set methods for inverse problems and optimal design.
CAM-Report 04-02, Department of Mathematics, UCLA, 2003.
103
M. Burger and S. Osher.
Convergence rates of convex variational regularization.
Inverse problems, 20:1411-1421, 2004.
104
M. Burger and S. Osher.
A survey on level set methods for inverse problems and optimal design.
European J. Appl. Math., 16(2):263-301, 2005.
105
M. Burger, S. Osher, and E. Yablonovitch.
Inverse problem techniques for the design of photonic crystals.
IEICE Transactions E, 87, 2004.
106
M. Burger and R. Pinnau.
Fast optimal design of semiconductor devices.
SIAM J. Appl. Math., 64:108-126, 2004.
107
M. Burger, E. Resmerita, and L. He.
Error estimation for Bregman iteration and inverse scale space methods.
CAM-Report 07-1, UCLA, 2007.
108
M. Burger and O. Scherzer.
Regularization methods for blind deconvolution and blind source separation problems.
Mathematics of Control, Signals and Systems, 14:358-383, 2001.
109
M. Burger and R. Stainko.
Phase-field relaxation of topology optimization with local stress constraints.
Technical Report 2004-35, J. Kepler University Linz, SFB F013, 2004.
110
V. Capasso, M. Burger, A. Micheletti, D. Morale, and C. Salani.
Mathematical models for polymer crystallization processes.
In V. Capasso, editor, Mathematical modelling for polymer industry, Berlin, Heidelberg, 2002. Springer.
111
R. Celorrio and A. Hofinger.
A real-time solution for an inverse Cauchy problem in cardiology.
Technical report, SFB F013, 2005.
112
R. Chapko and P. Kügler.
A comparison of the Landweber method and the Gauss-Newton method for an inverse parabolic boundary value problem.
J. Comput. Appl. Math., 169:183-196, 2004.
113
P. Deuflhard, H. W. Engl, and O. Scherzer.
A convergence analysis of iterative methods for the solution of nonlinear ill-posed problems under affinely invariant conditions.
Inverse Problems, 14(5):1081-1106, 1998.
114
H. Egger.
Identification of Volatility Smile in the Black Scholes Equation via Tikhonov Regularization.
Master's thesis, Johannes Kepler University Linz, Industrial Mathemtics Institute, November 2001.
115
H. Egger.
The inverse problem of option pricing.
Conference on Computational Methods for Inverse Problems, Strobl, August 2002.
116
H. Egger.
The inverse problem of option pricing.
ECMI 2002, Riga, September 2002.
117
H. Egger.
Recovering volatility in the black-scholes model.
MATHMOD 2003, Vienna, February 2003.
118
H. Egger.
Recovering volatility in the Black-Scholes model.
In I. Troch and F. Breitenecker, editors, Proceedings of the 4th MATHMOD Vienna, 2003.
ARGESIM Report no. 24.
119
H. Egger.
Stabilität in nichtlinearen parabolischen inversen Quellproblemen.
Fakultät für Mathematik, TU Chemnitz, June 2004.
120
H. Egger.
Accelerated Newton-Landweber iterations for regularizing nonlinear inverse problems.
SFB-Report 2005-03, SFB F013, 2005.
121
H. Egger.
Preconditioning iterative regularization in Hilbert scales.
GAMM-Conference, Luxembourg, March 2005.
122
H. Egger.
Preconditioning iterative regularization in Hilbert Scales.
PhD thesis, Johannes Kepler University Linz, 2005.
123
H. Egger.
Preconditioning iterative regularization methods.
Workshop on Inverse Problems, Obergurgl, April 2005.
124
H. Egger.
Some aspects of iterative regularization.
Workshop on symmetries, inverse problems and image processing, RICAM, January 2005.
125
H. Egger.
Acceleration of iterative methods for inverse problems.
Intern. Conf. on ``Inverse Problems and Simulation'', Fethiye, May 2006.
126
H. Egger.
Preconditioning cgne-iterations for inverse problems.
Report 2006-9, SFB013, March 2006.
127
H. Egger.
Preconditioning iterative regularization methods.
Intern. GAMM/SIAM Conf. on ``Applied Linear Algebra'', Düsseldorf, July 2006.
128
H. Egger.
Semiiterative regularization in Hilbert scales.
SIAM J. Numer. Anal., 44:66-81, 2006.
129
H. Egger.
Y-scale regularization.
Report 2006-7, SFB013, March 2006.
130
H. Egger.
Fast fully iterative Newton-type methods for inverse problems.
J. Inv. Ill-posed Probl., 15:257-275, 2007.
131
H. Egger.
Preconditioning CGNE iteration for inverse problems.
Num. Lin. Alg. Appl., 14(3):183-196, 2007.
132
H. Egger.
Y-scale regularization.
SINUM, 2007.
accepted.
133
H. Egger and H. W. Engl.
Tikhonov regularization applied to the inverse problem of option pricing: Convergence analysis and rates.
Inverse Problems, 21:1027-1045, 2005.
134
H. Egger, H. W. Engl, and M. V. Klibanov.
Global uniqueness and Hölder stability for recovering a nonlinear source term in a parabolic equation.
Inverse Problems, 21:271-290, 2005.
135
H. Egger, T. Hein, and B. Hofmann.
On decoupling of volatility smile and term structure in inverse option pricing.
Inverse Problems, 22:1247-1259, 2006.
136
H. Egger and A. Neubauer.
Preconditioning Landweber iteration in Hilbert scales.
Numerische Mathematik, 101:643-662, 2005.
137
H. Engl.
Computational methods for inverse problems.
Computing Laboratory, Oxford University, April 2001.
138
H. Engl.
An inverse problem from nondestructive testing.
Strathclyde University, March 2001.
139
H. Engl.
Inverse problems in industry.
British Inverse Problems Days, University College London, May 2001.
140
H. Engl.
Iterative methods for nonlinear inverse problems: Theory and numerical examples.
Applied Inverse Problems: Theoretical and Computational Aspects, Montecatini, Italy, June 2001.
141
H. Engl.
Iterative regularization of nonlinear inverse problems.
University of Loughborough, March 2001.
142
H. Engl.
Iterative regularization of nonlinear inverse problems.
Welsch Mathematics Colloquium, Gregynog, Wales, May 2001.
143
H. Engl.
Parameters in polymer crystallization, semiconductor models and elasticity via iterative regularization methods.
Berkeley, USA, November 2001.
144
H. Engl.
Regularization of inverse problems: mathematical methods and applications.
OCIAM, Oxford University, January 2001.
145
H. Engl.
Regularization of inverse problems: mathematical methods and applications.
Strathclyde University, March 2001.
146
H. Engl.
Convergence in distribution of regularization methods for the stable solution of linear ill-posed operator equations.
AMS, April 2005.
147
H. Engl.
Convergence in distribution of regularization methods for the stable solution of linear ill-posed operator equations.
Inverse Problems Reunion Conference, IPAM, UCLA, June 2005.
148
H. Engl.
Forschungsleistungen in Leistungsvereinbarungen: Wie lässt sich Forschung wissenschaftsadäquat definieren?
Workshop ``Universitäre Leistungsvereinbarungen'' Baden bei Wien, December 2005.
149
H. Engl.
Hot stuff: From iron and steel making via inverse problems to finance and academia and business - the industrial mathematics structure in linz.
CAIMS 2005, Kanada, June 2005.
150
H. Engl.
Hot stuff: From iron steel making via inverse problems to finance.
SCOMA Conference Finnland, October 2005.
151
H. Engl.
Industrial mathematics in europe - experiences and visions.
ÖMG-Kongress Klagenfurt, September 2005.
152
H. Engl.
Mathematics as basis for software in engineering and finance; iterative regularization methods for nonlinear inverse problems for partial differential equations.
Österreich Innovativ, Expertensendung nach Israel, Vorträge in Tel Aviv und Haifa, November 2005.
153
H. Engl.
Some identification problems in finance.
PDE and Mathematical Finance Conference, Stockholm, August 2005.
154
H. Engl.
Hot stuff: From iron and steel making via inverse problems to finance.
ICIAM Board Meeting, Shanghai, China, May 2006.
155
H. Engl.
Hot stuff: From ironmaking furnaces via inverse problems to mathematical finance.
Universität Goettingen, April 2006.
156
H. Engl.
Iterative methods for the regularization of nonlinear inverse problems.
Colloquium ``There is nothing more practical than a good theory'', Fraunhofer-Institut Kaiserslautern, September 2006.
157
H. Engl.
Iterative regularization methods for nonlinear inverse problems for partial differential equations.
TX Joint Mathematics Meetings, Texas, USA, January 2006.
158
H. Engl.
Mathematics and industry - a relation for mutual benefit: The austrian experience.
Workshop in Applied Mathematics, Experiences and Visions for Industrial Mathematics in Europe, Bedlewo, Polen, April 2006.
159
H. Engl.
Mathematics and industry - a relationship for mutual benefit.
10. Internationale Tagung über Schulmathematik, Wien: Mathematik - die Schlüsseltechnologie in Industrie und Wirtschaft, February 2006.
160
H. Engl.
Regularization of nonlinear inverse problems: Convergence analysis, new challenges.
3rd International Conference on Inverse Problems, Sapporo, Japan, July 2006.
161
H. Engl.
Regularization of nonlinear inverse problems: Convergence analysis, new challenges.
Wichita State University, August 2006.
162
H. Engl, P. Fusek, and S. Pereverzev.
Natural linearization for the identification of nonlinear heat transfer laws.
Journal of Inv. and Ill-Posed Problems, 13:567-582, 2005.
163
H. Engl and A. Leitao.
A Mann iterative method for elliptic Cauchy problems.
Numer. Funct. Anal. and Optimiz., 22(7-8):861-884, 2001.
164
H. W. Engl.
Convergence rates for iterative regularization of nonlinear inverse problems.
Special Session on Nonlinear Inverse Problems, AMS-Meeting, Baltimore, January 5-12, 1998.
165
H. W. Engl.
Inverse problems in continuous casting and hot rolling of steel.
Conference ``Inverse Problems in Engineering'', Nagano, March 21-29, 1998.
166
H. W. Engl.
Inverse problems in industrial applications.
Research Chinese University of Hongkong, March 29 -April 8, 1998.
167
H. W. Engl.
Iterative regularization of nonlinear inverse problems with applications to parameter identification.
Conference on Inverse Problems, Vietri sur Mare, Italien, September 28 - October 2, 1998.
168
H. W. Engl.
Industrial mathematics curricula in europe - some examples.
ICIAM-Conference, Edinburgh, plenary talk, Minisymposium CSE, 7 1999.
169
H. W. Engl.
Inverse problems.
Workshop on Industrial Mathematics, New Delhi, Indien, February 1999.
170
H. W. Engl.
Inverse problems.
Workshop on Modelling with Mathematics, Triest, Italien, September 1999.
171
H. W. Engl.
Inverse problems: Regularization methods, applications in industry.
CIME, Martina Franca, Italien, June 1999.
172
H. W. Engl.
Nonlinear inverse problems: Regularization theory, industrial applications.
ICIAM-Conference, Edinburgh, plenary talk, June 1999.
173
H. W. Engl.
Nonlinear inverse problems: Regularization theory, industrial applications.
Universität Wien, September 1999.
174
H. W. Engl.
Numerical methods for nonlinear inverse problems with applications in industry.
ENUMATH 99, Jyvaskula, Finnland, July 1999.
175
H. W. Engl.
Regularization methods for solving inverse problems.
In Proceedings of ICIAM 99, 1999.
176
H. W. Engl.
Inverse problems and their regularization.
In Proc. of a CIME Workshop on ``Mathematics motivated by industrial problems''. Springer, 2000.
177
H. W. Engl.
Alan Tayler Lecture: Identification of parameters in polymer crystallization, semiconductor models and elasticity via iterative regularization methods.
ECMI Conference, Riga, September 2002.
178
H. W. Engl.
Identification of parameters in polymer crystallization, semiconductor models and elasticity via iterative regularization methods.
AMRTMA, Frejus, France, June 2002.
179
H. W. Engl.
Identification of parameters in polymer crystallization, semiconductor models and elasticity via iterative regularization methods.
Conference ``Inverse and Ill-Posed Problems'', Russian Academy of Science, Novosibirsk, August 2002.
180
H. W. Engl.
Iterative methods for nonlinear inverse problems.
SIAM Annual Meeting, Philadelphia, USA, July 2002.
181
H. W. Engl.
Identification of parameters in polymer crystallization, semiconductor models and elasticity via iterative regularization methods.
ICONA-MECOM 2003, Saigon, Vietnam, January 2003.
182
H. W. Engl.
Identification of parameters in polymer crystallization, semiconductor models and elasticity via iterative regularization methods.
In V. G. Romanov, S. I. Kabanikhin, Y. E. Anikonov, and A. L. Bukhgeim, editors, Inverse and Ill-posed Problems, pages 99-126. VSP, 2004.
183
H. W. Engl.
Mathematical Modelling and Numerical Simulation: From Iron and Steel Making via Inverse Problems to Finance.
invited talk at the University of Tokyo, October 2006.
184
H. W. Engl.
Regularization of Nonlinear Inverse Problems: Mathematics, Industrial Application Fields, New Challenges.
invited talk at the University of Tokyo, October 2006.
185
H. W. Engl.
Calibration problems - an inverse problem view.
Wilmott magazine, pages 16-20, 2007.
186
H. W. Engl.
Identification of the local speed function in a Levy model for option pricing.
ICIAM Zürich, July 2007.
187
H. W. Engl.
Industrial Mathematics in Linz.
Treffen WKO, AVL, Linz, April 2007.
188
H. W. Engl.
Mathematical Modelling and Numerical Simulation: From Iron and Steel Making via Inverse Problems in Finance.
Kick off meeting for a Math Alliance, Kaiserslautern, April 2007.
189
H. W. Engl.
Mathematical Modelling and Numerical Simulation: From Iron and Steel Making via Inverse Problems to Finance.
Ecole Nationale des Ingenieurs de Tunis, Mai 2007.
190
H. W. Engl, M. Burger, and R. Eisenberg.
Inverse problems related to ion channel selectivity.
SIAM Journal on Applied Mathematics, 67:960-989, 2007.
191
H. W. Engl and T. Felici.
On shape optimization of optical waveguides using inverse problems techniques.
Inverse Problems, 17:1141-1162, 2001.
192
H. W. Engl, G. Gökler, A. Schatz, and H. Zeisel.
Modelling and numerics for the transient simulation of the blast furnace process.
In R. Jeltsch, T.-T. Li, and I. H. Sloan, editors, Some Topics in Industrial and Applied Mathematics, Proceedings of Shanghai Forum on Industrial and Applied Mathematics, volume 8 of Series in Contemporary Applied Mathematics. World Scientific Publishing, 2006.
193
H. W. Engl, A. Hofinger, and S. Kindermann.
Convergence rates in the Prokhorov metric for assessing uncertainty in ill-posed problems.
Technical report, SFB F013, September 2004.
194
H. W. Engl, A. Hofinger, and S. Kindermann.
Convergence rates in the Prokhorov metric for assessing uncertainty in ill-posed problems.
Inverse Problems, 21:399-412, 2005.
195
H. W. Engl and P. Kügler.
The Influence of the Equation Type on Iterative Parameter Identification Problems which are Elliptic or Hyperbolic in the Parameter.
SFB-Report 01-25, SFB F013, University of Linz, July 2001.
196
H. W. Engl and P. Kügler.
Identification of a temperature dependent heat conductivity by Tikhonov regularization.
J. of Inverse and Ill-Posed Problems, 10:67-90, 2002.
197
H. W. Engl and P. Kügler.
The influence of the equation type on iterative parameter identification problems which are elliptic or hyperbolic in the parameter.
European Journal on Applied Mathematics, 14:13-38, 2003.
198
H. W. Engl and P. Kügler.
Parameter identification in industrial problems via iterative regularization methods.
In A. Fitt et al., editors, Progress in Industrial Mathematics at ECMI 02. ECMI, Springer, 2003.
199
H. W. Engl and P. Kügler.
Nonlinear inverse problems: theoretical aspects and some industrial applications.
In V. Capasso and J. Periaux, editors, Multidisciplinary methods for analysis, optimization and control of complex systems, Mathematics in Industry, pages 3-48. Springer, 2005.
200
H. W. Engl and A. Leitao.
A Mann iterative method for elliptic Cauchy problems.
Technical Report 00-38, SFB F013, J. Kepler University Linz, 2000.
201
H. W. Engl, J. Lu, R. Machné, and P. Schuster.
Inverse bifurcation analysis of a model for the mammalian G1/S regulatory module.
In S. Hochreiter and R. Wagner, editors, Proceedings of Bioinformatics in Research and Development, Lecture Notes in Bioinformatics, volume LNBI 4414, pages 168-184. BIRD 2007, Springer, 2007.
202
H. W. Engl, J. Lu, and P. Schuster.
Inverse bifurcation analysis: application to simple gene systems.
Algorithms for Molecular Biology, 1:11, 2006.
203
H. W. Engl, E. Resmerita, and A. N. Iusem.
The EM algorithm for ill-posed integral equations: a convergence analysis.
Inverse Problems, 23:2575-2588, 2007.
204
H. W. Engl and O. Scherzer.
Convergence rates results for iterative methods for solving nonlinear ill-posed problems.
In D. Colton, H. W. Engl, A. K. Louis, J. R. McLaughlin, and W. F. Rundell, editors, Solution Methods for Inverse Problems. Springer, 2000.
205
H. W. Engl and J. Zou.
A new approach to convergence rate analysis of Tikhonov regularization for parameter identification in heat conduction.
Inverse Problems, 16(6):1907-1923, 2000.
206
P. Favaro, M. Burger, and S. Soatto.
Scene and motion reconstruction from defocused and motion blurred images via anisotropic diffusion.
In T. Pajdla and J. Matas, editors, Proceedings of ECCV 2004, pages 257-269. Springer Berlin, April 2004.
207
H. Gu and M. Burger.
Numerical-symbolic methods for parameter-dependent geometric differential equations.
SFB-Report 05-01, University Linz, 2005.
208
H. Gu and M. Burger.
Preprocessing for finite element discretizations of geometric problems.
In Proceedings of The International Workshop of Symbolic and Numerical Computation, Xi'an, China., 2005.
209
B. Hackl.
Level sets, phase field and topological gradients in inverse problems.
Workshop on ``Level Set Methods for Direct and Inverse Problems'', Linz 2005, September 2005.
210
B. Hackl.
Topological derivative and the level set method for geometric inverse problems.
SIAM Annual Meeting, New Orleans, USA, July 2005.
211
B. Hackl.
Methods for reliable topology changes for perimeter regularized geometric inverse problems.
Technical Report SFB 2006-3, RICAM & SFB F013, 2006.
212
B. Hackl.
Shape Variations, Level Set and Phase-field Methods for Perimeter Regularized Geometric Inverse Problems.
PhD thesis, JK University Linz, September 2006.
213
B. Hackl.
Methods for reliable topology changes for perimeter regularized geometric inverse problems.
SIAM J. Num. Anal., 45:2201-2227, 2007.
214
L. He, S. Osher, and M. Burger.
Iterative total variation regularization with non-quadratic fidelity.
J. Math. Imag. Vision, 26:167-184, 2005.
215
A. Hofinger.
Application of different regularization techniques to a Cauchy-problem.
Inverse Problems Culminating Workshop, Lake Arrowhead, December 2003.
216
A. Hofinger.
Iterative regularization and training of neural networks.
Master's thesis, University Linz, 2003.
217
A. Hofinger.
Inverse problems: Deterministic vs. stochastic point of view.
Zaragoza, June 2004.
218
A. Hofinger.
Nonlinear function approximation: Computing smooth solutions with an adaptive greedy algorithm.
Technical report, SFB F013, September 2004.
219
A. Hofinger.
A real-time solution for an inverse Cauchy problem in cardiology.
SFB Status seminar, Strobl, Austria, March 2005.
220
A. Hofinger.
A real-time solution for an inverse Cauchy problem in cardiology.
Obergurgl, April 2005.
221
A. Hofinger.
A real-time solution for an inverse Cauchy problem in cardiology.
SFB Status seminar, Strobl, Austria, 2005.
222
A. Hofinger.
A real-time solution for an inverse cauchy problem in cardiology.
Inverse Problems Reunion Conference, Lake Arrowhead, June 2005.
223
A. Hofinger.
Assessing uncertainty in linear inverse problems with the metrics of Ky Fan and Prokhorov.
SFB-Report 2006-23, SFB F013, 2006.
224
A. Hofinger.
Ill-posed problems: Extending the deterministic theory to a stochastic setup.
PhD thesis, Universität Linz, 2006.
ISBN: 3854990197.
225
A. Hofinger.
Nonlinear function approximation: Computing smooth solutions with an adaptive greedy algorithm.
Journal of Approximation Theory, 43(2):159-175, 2006.
226
A. Hofinger.
The metrics of Prokhorov and Ky Fan for assessing uncertainty in inverse problems.
SFB-Report 2006-20, SFB F013, 2007.
227
A. Hofinger and S. Kindermann.
Assessing uncertainty in nonlinear inverse problems with the metrics of Ky Fan and Prokhorov.
SFB-Report 2006-31, SFB F013, 2006.
228
A. Hofinger and H. K. Pikkarainen.
Convergence rates for the bayesian approach to linear inverse problems.
Technical Report 2006-32, SFB F013, November 2006.
229
A. Hofinger and H. K. Pikkarainen.
Convergence rates for linear inverse problems in the presence of an additive normal noise.
Technical Report 2007-3, SFB F013, January 2007.
230
A. Hofinger and H. K. Pikkarainen.
Convergence rates for the bayesian approach to linear inverse problems.
Inverse Problems, 23:2469-2484, 2007.
231
A. Hofinger and F. Pillichshammer.
Learning a function from noisy samples at a finite sparse set of points.
Technical report, SFB F013, 2005.
232
A. Hofinger and J. Valdman.
Numerical solution of the two-yield elastoplastic minimization problem.
Computing, 2007.
(accepted).
233
T. Hohage.
Analytische Abhängigkeit des Feldes vom Rand bei Streuung an nicht-glatten Gebieten.
Seminar talk at the University of Göttingen, December 7, 1998.
234
T. Hohage.
Convergence of iterative regularization methods in inverse scattering.
Oberwolfach, September 21-27, 1998.
235
T. Hohage.
Convergence rates of a regularized Newton method for inverse scattering problems.
PIERS98, Nantes, July 13-17, 1998.
236
T. Hohage.
Convergence rates of a regularized Newton method in sound-hard inverse scattering.
SIAM J. Numer. Anal., 36:125-142, 1998.
237
T. Hohage.
ITREG, 1998.
C++ code for iterative regularization methods for nonlinear ill-posed problems, e.g., inverse scattering, inverse potential, and parameter identification problems in PDEs.
238
T. Hohage.
Iterative Methods in Inverse Obstacle Scattering: Regularization Theory of Linear and Nonlinear Exponentially Ill-Posed Problems.
PhD thesis, University of Linz, 1999.
239
T. Hohage.
Iterative regularization methods in inverse scattering.
3rd International Conference on Inverse Problems in Engineering, June 1999.
240
T. Hohage.
Iterative regularization methods in inverse scattering.
In K. A. Woodbury, editor, Inverse Problems in Engineering: Theory and Practice, New York, 1999. The American Society of Mechanical Engineers.
241
T. Hohage.
Regularisierung von exponentiell schlecht gestellten Problemen.
Seminar des Instituts für numerische und angewandte Mathematik Goettingen, December 1999.
242
T. Hohage.
Inverse medium scattering problems: Conditional stability and numerical solution.
at Technical University of Helsinki, April 2000.
243
T. Hohage.
Inverse medium scattering problems: Stability and numerical solution.
WIAS Berlin, August 2000.
244
T. Hohage.
Iterative methods for large scale, nonlinear, exponentially ill-posed problems.
GAMM 2000, Goettingen, April 2000.
245
T. Hohage.
On the numerical solution of a 3D inverse medium scattering problem.
Sfb report, SFB013-Report No.00-27, 2000.
246
T. Hohage.
Regularisation of exponentially ill-posed problems.
Numer. Funct. Anal. Optim., 21:439-464, 2000.
247
T. Hohage.
On the numerical solution of a three-dimensional inverse medium scattering problem.
Inverse Problems, 17(6):1743-1763, 2001.
248
T. Hohage and C. Schormann.
A Newton-type method for a transmission problem in inverse scattering.
Inverse Problems, 14(5):1207-1227, 1998.
249
J. M. J. Huttunen and H. K. Pikkarainen.
Discretization error in dynamical inverse problems: one-dimensional model case.
Technical Report 2006-22, RICAM, July 2006.
250
J. M. J. Huttunen and H. K. Pikkarainen.
Discretization error in dynamical inverse problems: one-dimensional model case.
Journal of Inverse and Ill-posed Problems, 15(4):365-386, 2007.
251
B. Kaltenbacher.
Newton's method for nonlinear ill-posed problems.
SFB Workshop, Strobl, September 1998.
252
B. Kaltenbacher.
On Broyden's method for nonlinear ill-posed problems.
Numer. Funct. Anal. Opt., 19:807-833, 1998.
253
B. Kaltenbacher.
A posteriori parameter choice strategies for some Newton type methods for the regularization of nonlinear ill-posed problems.
Numer. Math., 79:501-528, 1998.
254
B. Kaltenbacher.
Newton type methods for nonlinear inverse problems.
Inverse and Direct Problems and Applications, April 26 - 30, 1999, Milano - Gargnano, Italy, April 1999.
255
B. Kaltenbacher.
On a multigrid method for ill-posed problems.
Technical report, SFB013-report No.99-20, 1999.
256
B. Kaltenbacher.
On convergence rates for some iterative regularization methods for an inverse problem for a nonlinear parabolic equation connected with continuous casting of steel.
Journal of Inverse and Ill-Posed Problems, 7:145-164, 1999.
257
B. Kaltenbacher.
A projection-regularized Newton method for nonlinear ill-posed problems and its application to parameter identification problems with finite element discretization.
GAMM Annual Meeting 1999, April 1999.
258
B. Kaltenbacher.
Identification of piezoceramic material parameters.
GAMM 2000, Goettingen, April 2000.
259
B. Kaltenbacher.
Ill-posed problems, regularization by discretization, and multigrid methods.
Lehrstuhl für Systemsimulation, Universität Erlangen, November 2000.
260
B. Kaltenbacher.
Multigrid methods for the regularization of ill-posed problems.
GAMM 2000, Goettingen, April 2000.
261
B. Kaltenbacher.
Multigrid methods for the regularization of ill-posed problems.
SFB Conference on Inverse Problems, Strobl, June 2000.
262
B. Kaltenbacher.
A projection-regularized Newton method for nonlinear ill-posed problems and its application to parameter identification problems with finite element discretization.
In ZAMM (special issue on GAMM99), 2000.
263
B. Kaltenbacher.
A projection-regularized Newton method for nonlinear ill-posed problems with application to parameter identification problems with finite element discretization.
SIAM J. Numer. Anal., 37:1885-1908, 2000.
264
B. Kaltenbacher.
Regularization by projection with a posteriori discretization level choice for linear and nonlinear ill-posed problems.
Inverse Problems, 16(5):1523-1539, 2000.
265
B. Kaltenbacher.
V-cycle convergence of some multigrid methods for ill-posed problems.
Technical Report 00-29, SFB013, 2000.
266
B. Kaltenbacher.
Identification of nonlinear B-H curves based on magnetic field computations and multigrid methods for ill-posed problems.
GAMM Workshop Kiel on Computational Electromagnetics, January 2001.
267
B. Kaltenbacher.
Material parameter identification by regularizing Newton-multilevel iterations.
Berlin, September 2001.
268
B. Kaltenbacher.
Mehrgitterverfahren für instabile inverse probleme.
Oberseminar des Lehrstuhls für angewandte Mathematik, Universität Bayreuth, June 2001.
269
B. Kaltenbacher.
Multigrid preconditioners for ill-posed problems and their application in the identification of nonlinear B-H curves based on magnetic field computations.
International conference Applied Inverse Problems, Montecatini, June 2001.
270
B. Kaltenbacher.
On the regularizing properties of a full multigrid method for ill-posed problems.
Inverse Problems, 17:767-788, 2001.
271
B. Kaltenbacher.
Regularization methods for inverse problems with application to damage detection.
International Workshop Inverse Problems: Detection of internal damage, Karlsruhe, May 2001.
272
B. Kaltenbacher.
Inverse Probleme -- Anwendungen in der Geodaesie und Regularisierung durch Mehrgitterverfahren.
Munich, September 2002.
273
B. Kaltenbacher.
Materialparameterbestimmung mittels regularisierter Newton-Mehrgitter-Iterationen.
Augsburg, June 2002.
274
B. Kaltenbacher.
Multi-grid methods for unstable problems.
Institut für Mathematik, Universität Erlangen, January 2002.
275
B. Kaltenbacher.
Regularisierung durch Diskretisierung und Mehrgitterverfahren für lineare und nichtlineare inkorrekt gestellte Probleme.
Habilitation thesis, Johannes Kepler University Linz, 2002.
276
B. Kaltenbacher.
Regularization by multilevel discretization for linear and nonlinear ill-posed problems.
Oberseminar Numerik/Optimierung, Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig, January 2002.
277
B. Kaltenbacher.
Regularization of parameter estimation by adaptive discretization using refinement and coarsening indicators.
SFB Conference Computational Methods for Inverse Problems, Strobl, August 2002.
278
B. Kaltenbacher.
V-cycle convergence of some multigrid methods for ill-posed problems.
Math. Comput., 72:1711-1730, 2003.
279
B. Kaltenbacher and H. Benameur.
Regularization of parameter estimation by adaptive discretization using refinement and coarsening indicators.
SFB-Report 01-29, SFB F013, University of Linz, September 2001.
280
B. Kaltenbacher and H. W. Engl.
Inverse problems, regularization theory and applications: an introduction.
TMR workshop on Inverse Problems, Strobl, June 2000.
281
B. Kaltenbacher and M. Kaltenbacher.
Identification of piezoelectric material parameters.
Technical Report 2000-32, SFB F013, 2000.
282
B. Kaltenbacher, M. Kaltenbacher, R. Lerch, and R. Simkovics.
Identification of material tensors for piezoelectric materials.
In Proceedings of the IEEE Ultrasonics Symposium, Puerto Rico, pages 1033-1036, 2000.
283
B. Kaltenbacher, M. Kaltenbacher, and S. Reitzinger.
Identification of nonlinear B-H curves based on magnetic field computations and multigrid methods for ill-posed problems.
SFB-Report 01-17, SFB F013, University of Linz, May 2001.
284
B. Kaltenbacher, M. Kaltenbacher, and S. Reitzinger.
Identification of nonlinear B-H curves based on magnetic field computations and multigrid methods for ill-posed problems.
European Journal of Applied Mathematics, 14(1):13-38, 2003.
285
B. Kaltenbacher, A. Neubauer, and A. Ramm.
Convergence rates of the continuous regularized Gauss-Newton method.
J. Inv. Ill-Posed Problems, 10:261-280, 2002.
286
B. Kaltenbacher and O. Scherzer.
Inverse Probleme in der Bildverarbeitung und anderen Anwendungen.
Tag der Mathematik, April 2000.
287
B. Kaltenbacher and J. Schicho.
A multi-grid method with a priori and a posteriori level choice for the regularization of nonlinear ill-posed problems.
Numerische Mathematik, 93(1):77-107, 2002.
288
B. Kaltenbacher and J. Schöberl.
A saddle point variational formulation for projection-regularized parameter identification.
Technical Report 00-13, SFB Report, 2000.
289
B. Kaltenbacher and J. Schöberl.
A saddle point variational formulation for projection-regularized parameter identification.
Numerische Mathematik, 91(4):675-697, 2002.
290
S. Kindermann and A. Leitao.
Regularization by dynamic programing.
J. Inv. Ill-posed Probl., 15:295-310, 2007.
291
S. Kindermann, P. Mayer, H.-J. Albrecher, and H. W. Engl.
Identification of the local speed function in a Levy model for option pricing.
J. Int. Eq. Appl, 2007.
accepted.
292
S. Kindermann and R. Ramlau.
Surrogate functionals and thresholding for inverse interface problems.
J. Inv. Ill-posed Probl., 15:387-402, 2007.
293
P. Kügler.
Identification of a temperature dependent heat conductivity.
SIAM Annual Meeting - Puerto Rico, July 2000.
294
P. Kügler.
Identification of a temperature-dependent heat conductivity by Tikhonov regularization.
Master's thesis, Johannes Kepler University Linz, Industrial Mathematics Institute, 2000.
295
P. Kügler.
A weak source condition for identifying a nonlinearity.
The University of Tokyo, September 2000.
296
P. Kügler.
A weak source condition for identifying a nonlinearity.
The Chinese University of Hong Kong, October 2000.
297
P. Kügler.
Estimating young's modulus of glass sheets.
10th Cambridge/Oxford Applied Mathematics Meeting, June 2001.
298
P. Kügler.
Identifying a nonlinearity from single boundary measurements.
JAMS - University of Oxford, February 2001.
299
P. Kügler.
The influence of the equation type on iterative parameter identification problems which are elliptic or hyperbolic in the parameter.
ÖMG - Tagung, September 2001.
300
P. Kügler.
An iterative regularization method for an inverse problem in the manufacture of car windshields.
SIAM Annual Meeting, Philadelphia, 2002.
301
P. Kügler.
A parameter identification problem of mixed type related to the manufacture of car windshields.
ECMI Meeting, Riga, 2002.
302
P. Kügler.
The sagging process for the manufacture of car windshields as an inverse problem of mixed type.
GlassDays 2002, Wattens, 2002.
303
P. Kügler.
Some progress in solving the inverse windscreen problem.
OCIAM - University of Oxford, January 2002.
304
P. Kügler.
A derivative-free Landweber iteration for parameter identification in certain elliptic pdes.
Inv. Probl., 19(6):1407-1426, 2003.
305
P. Kügler.
A derivative free Landweber method for parameter identification in elliptic PDEs with application to the manufacture of car windshields.
PhD thesis, University of Linz, 2003.
306
P. Kügler.
An approach to online parameter estimation in dynamical systems.
Inverse Problems, Helsinki, Finland, 2004.
307
P. Kügler.
An approach to online parameter estimation in nonlinear dynamical systems.
SFB Report 2004-18, Johannes Kepler University Linz, 2004.
308
P. Kügler.
Identification of a temperature dependent heat conductivity from single boundary measurements.
SIAM J. Numer. Anal., 41:1543-1564, 2004.
309
P. Kügler.
Identification on nonlinearities in pdes with application to electrodynamics.
MTM, Florianopolis, Brazil, 2004.
310
P. Kügler.
An inverse problem of mixed type related to the manufacture of car windshields.
IMPA, Rio de Janeiro, Brazil, 2004.
311
P. Kügler.
On the identification of nonlinearities in pdes.
IPM, Tehran, Iran, 2004.
312
P. Kügler.
Parameter identification in industrial problems via iterative regularization methods.
In A. Fitt, editor, Progress in Industrial Mathematics at ECMI 2002, pages 13-29. Springer, 2004.
313
P. Kügler.
A parameter identification problem of mixed type related to the manufacture of car windshields.
SIAM J. Appl. Math., 64:858-877, 2004.
314
P. Kügler.
Convergence rate analysis of a derivative free landweber iteration for parameter identification in certain elliptic pdes.
Numer. Math., 101(1):165-184, 2005.
315
P. Kügler and A. Leitao.
Mean value iterations for nonlinear elliptic Cauchy problems.
Numerische Mathematik, 96:269-293, 2003.
316
A. Leitao.
An iterative method for solving elliptic Cauchy problems.
Numerical Functional Analysis and Optimization, 5-6(21):715-742, 2000.
317
A. Leitao.
A Mann iterative method for elliptic Cauchy problems.
AG Numeric, Dynamic und Optimierung (Goethe Universität, Frankfurt/M), November 2000.
318
A. Micheletti and M. Burger.
Stochastic and deterministic simulation of nonisothermal crystallization of polymers.
Journal of Mathematical Chemistry, 30:169-193, 2001.
319
T. Myers, B. Bejanov, A. Hofinger, H. Lee, J. Lee, M. Roberts, and Y. Wu.
Modelling the temperature distribution in concrete structure.
In Proceedings of the Seventh PIMS MITACS Graduate Industrial Math Modelling Camp, 2004.
320
S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin.
An iterative regularization method for total variation based image restoration.
Multiscale Modelling and Simulation, 4:460-489, 2005.
321
H. K. Pikkarainen.
State estimation approach to nonstationary inverse problems: discretization error and filtering problem.
The Eleventh Inverse Days, Helsinki, Finland, December 2005.
322
H. K. Pikkarainen.
State estimation approach to nonstationary inverse problems: discretization error and filtering problem.
Technical Report 2005-20, RICAM, October 2005.
323
H. K. Pikkarainen.
Bayesian approach to inverse problems.
SFB Status Seminar, Strobl, Austria, April 2006.
324
H. K. Pikkarainen.
Convergence rates for the bayesian approach to linear inverse problems.
Inverse Days 2006, Tampere, Finland, December 2006.
325
H. K. Pikkarainen.
Discretization error in dynamical inverse problems.
The Third International Conference ``Inverse Problems: Modeling and Simulation'', Fethiye, Turkey, June 2006.
326
H. K. Pikkarainen.
State estimation approach to nonstationary inverse problems: discretization error and filtering problem.
Inverse Problems in Applied Sciences, Sapporo, Japan, July 2006.
327
H. K. Pikkarainen.
State estimation approach to nonstationary inverse problems: discretization error and filtering problem.
Inverse Problems, 22(1):365-379, 2006.
328
H. K. Pikkarainen.
Convergence rates for linear inverse problems in the presence of an additive normal noise.
Georg-August-Universität Göttingen, March 2007.
329
H. K. Pikkarainen.
Convergence rates for the bayesian approach to linear inverse problems.
SFB Status Seminar, Strobl, Austria, April 2007.
330
H. K. Pikkarainen.
Convergence rates for the bayesian approach to linear inverse problems.
ICIAM 2007, Zürich, Switzerland, July 2007.
331
H. K. Pikkarainen.
State estimation approach to nonstationary inverse problems.
Conference on Applied Inverse Problems 2007, Vancouver, Canada, June 2007.
332
M. Rosenkranz.
A Gröbner bases approach towards solving linear BVP.
SFB Status Seminar Strobl, Austria, April 2002.
333
M. Rosenkranz, B. Buchberger, and H. W. Engl.
Computing the Moore-Penrose-inverse by Gröbner bases.
Conference on Computational Methods for Inverse Problems Strobl, Austria, August 2002.
334
M. Rosenkranz, B. Buchberger, and H. W. Engl.
Solving linear boundary value problems via non-commutative Gröbner bases.
Fourth International SYNASC Workshop Timisoara, Romania, October 2002.
335
M. Rosenkranz and H. W. Engl.
Solving linear boundary value problems via non-commutative Gröbner bases.
Symposium in Honor of Bruno Buchberger's 60th Birthday, Logic, Mathematics and Computer Science: Interactions (LMCS'2002) Hagenberg, Austria, October 20-22, 2002, October 2002.
336
T. Seidel and H. W. Engl.
Recovering discrete and continuous parts of the solution of linear ill-posed problems by Tikhonov regularization.
J. of Inverse and Ill-Posed Problems, 7:165-183, 1999.
337
R. Stainko and M. Burger.
A one shot approach to topology optimization with local stress constraints.
In M. P. Bendsoe, N. Olhoff, and O. Sigmund, editors, IUATM Symposium on Topology Design Optimization of Structures, Machines and Materials, volume 137 of Solid Mechanics and its Applications, pages 181-184. IUTAM, Springer, 2006.
338
R. Stainko and M. Burger.
Phase-field relaxation of topology optimization with local stress constraints.
SIAM Journal on Control and Optimization, 45(4):1447-1466, 2006.
339
R. Stütz.
On the moving grid method for parameter identification problems.
Master's thesis, Johannes Kepler University Linz, Industrial Mathematics Institute, 2004.
340
R. Stütz.
Estimation of discontinuous solutions of ill-posed problems using adaptive grid techniques.
SFB Status Seminar Strobl, Austria, March 2005.
341
R. Stütz.
Estimation of discontinuous solutions of ill-posed problems via the moving grid approach.
Workshop Inverse Problems, Obergurgl, Austria, April 2005.
342
M.-T. Wolfram.
Semiconductor inverse dopant profiling from transient measurements.
Master's thesis, Johannes Kepler University Linz, 2005.
343
M.-T. Wolfram.
Semiconductor inverse dopant profiling from transient measurements.
Inverse Problems Reunion Conference, Lake Arrowhead, June 2005.
344
M.-T. Wolfram.
Inverse dopant profiling from transient measurements.
J. Comp. Electr., 2007.
to appear.
345
M.-T. Wolfram and M. Burger.
Inverse dopant profiling for highly doped semiconductor devices.
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