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


Article - 2000


September 27, 2008

Bibliography

1
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.
2
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.
3
T. Hohage.
Regularisation of exponentially ill-posed problems.
Numer. Funct. Anal. Optim., 21:439-464, 2000.
4
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.
5
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.
6
A. Leitao.
An iterative method for solving elliptic Cauchy problems.
Numerical Functional Analysis and Optimization, 5-6(21):715-742, 2000.
7
H. K. Pikkarainen.
State estimation approach to nonstationary inverse problems: discretization error and filtering problem.
Inverse Problems, 22(1):365-379, 2006.




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