The SFB program expired on September 30, 2008. For the link to the successor project click DK Computational Mathematics
Home
Appointments
Papers
Misc
Contact

Technical Reports

Publication Lists

Annual Reports


Publications of the Project F1308


TechRepMisc


September 27, 2008

Bibliography

1
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.
2
H. Benameur, M. Burger, and B. Hackl.
Level set methods for inverse problems in linear elasticity.
SFB-Report 2003-12, University Linz, 2003.
3
H. Benameur, M. Burger, and B. Hackl.
On some inverse problems in linear elasticity.
CAM-Report 03-55, UCLA, 2003.
4
M. Burger.
Growth fronts of first-order Hamilton-Jacobi equations.
SFB Report 02-8, University Linz, 2002.
5
M. Burger.
Numerical simulation of anisotropic surface diffusion with curvature-dependent energy.
CAM-Report 04-06, Department of Mathematics, UCLA, 2003.
6
M. Burger.
Weak solutions for the mean curvature flow of planar graphs.
SFB-Report 03-01, SFB F 013, University Linz, 2003.
7
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.
8
M. Burger, B. Hackl, and W. Ring.
Incorporating topological derivatives into level set methods.
CAM-Report 03-46, UCLA, 2003.
9
M. Burger, J. Haslinger, and U. Bodenhofer.
Regularized optimization of fuzzy controllers.
Sfb-report 01-9, SFB F 013, University of Linz, 2001.
10
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.
11
M. Burger and W. Mühlhuber.
Iterative regularization of parameter identification problems by SQP methods.
SFB Report 01-18, SFB F013, University Linz, 2001.
12
M. Burger and W. Mühlhuber.
Numerical approximation of an SQP-type method for parameter identification.
SFB Report 01-19, SFB F013, University Linz, 2001.
13
M. Burger and S. Osher.
Convergence rates of convex variational regularization.
CAM-Report 04-10, Department of Mathematics, UCLA, 2003.
14
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.
15
M. Burger, E. Resmerita, and L. He.
Error estimation for Bregman iteration and inverse scale space methods.
CAM-Report 07-1, UCLA, 2007.
16
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.
17
R. Celorrio and A. Hofinger.
A real-time solution for an inverse Cauchy problem in cardiology.
Technical report, SFB F013, 2005.
18
H. Egger.
Accelerated Newton-Landweber iterations for regularizing nonlinear inverse problems.
SFB-Report 2005-03, SFB F013, 2005.
19
H. Egger.
Preconditioning cgne-iterations for inverse problems.
Report 2006-9, SFB013, March 2006.
20
H. Egger.
Y-scale regularization.
Report 2006-7, SFB013, March 2006.
21
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.
22
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.
23
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.
24
H. Gu and M. Burger.
Numerical-symbolic methods for parameter-dependent geometric differential equations.
SFB-Report 05-01, University Linz, 2005.
25
B. Hackl.
Methods for reliable topology changes for perimeter regularized geometric inverse problems.
Technical Report SFB 2006-3, RICAM & SFB F013, 2006.
26
A. Hofinger.
Nonlinear function approximation: Computing smooth solutions with an adaptive greedy algorithm.
Technical report, SFB F013, September 2004.
27
A. Hofinger.
Assessing uncertainty in linear inverse problems with the metrics of Ky Fan and Prokhorov.
SFB-Report 2006-23, SFB F013, 2006.
28
A. Hofinger.
The metrics of Prokhorov and Ky Fan for assessing uncertainty in inverse problems.
SFB-Report 2006-20, SFB F013, 2007.
29
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.
30
A. Hofinger and H. K. Pikkarainen.
Convergence rates for the bayesian approach to linear inverse problems.
Technical Report 2006-32, SFB F013, November 2006.
31
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.
32
A. Hofinger and F. Pillichshammer.
Learning a function from noisy samples at a finite sparse set of points.
Technical report, SFB F013, 2005.
33
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.
34
T. Hohage.
On the numerical solution of a 3D inverse medium scattering problem.
Sfb report, SFB013-Report No.00-27, 2000.
35
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.
36
B. Kaltenbacher.
On a multigrid method for ill-posed problems.
Technical report, SFB013-report No.99-20, 1999.
37
B. Kaltenbacher.
V-cycle convergence of some multigrid methods for ill-posed problems.
Technical Report 00-29, SFB013, 2000.
38
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.
39
B. Kaltenbacher and M. Kaltenbacher.
Identification of piezoelectric material parameters.
Technical Report 2000-32, SFB F013, 2000.
40
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.
41
B. Kaltenbacher and J. Schöberl.
A saddle point variational formulation for projection-regularized parameter identification.
Technical Report 00-13, SFB Report, 2000.
42
P. Kügler.
An approach to online parameter estimation in nonlinear dynamical systems.
SFB Report 2004-18, Johannes Kepler University Linz, 2004.
43
H. K. Pikkarainen.
State estimation approach to nonstationary inverse problems: discretization error and filtering problem.
Technical Report 2005-20, RICAM, October 2005.




Please direct your comments or eventual problem reports to webmaster.

SpezialForschungsBereich SFB F013 | Special Research Program of the FWF - Austrian Science Fund