12168096
Denoising with higher order derivatives of bounded variation and an application to parameter estimation
Regularization with functions of bounded variation has been proven to be effective for denoising signals and images. This nonlinear regularization technique, in contrast with linear regularization techniques like Tikhonov regularization, has the advantage that discontinuities in signals and images can be located very precisely. In this paper bounded variation regularization is generalized to functions with higher order derivatives of bounded variation. This concept is applied to locate discontinuities in derivatives, which has important applications in parameter estimation problems.
120227077
Convergence rates of iterated Tikhonov regularized solutions of nonlinear III — posed problems
SummaryIn this paper we investigate iterated Tikhonov regularization for the solution of nonlinear ill-posed problems. In the case of linear ill-posed problems it is well-known that (under appropriate assumptions) then-th iterated regularized solutions can converge likeO(δ22/(2n+1)), where δ denotes the noise level of the data perturbation. We give conditions that guarantee this convergence rate also for nonlinear ill-posed problems, and motivate these conditions by the mapping degree. The results are derived by a comparison of the iterated regularized solutions of the nonlinear problem with the iterated regularized solutions of its linearization. Numerical examples are presented.
120639964
Zum relativistischen Zweikörperproblem
ZusammenfassungEs wird eine Wellengleichung aufgesucht, die in erster Näherung das von Møller angegebene Matrixelement der retardierten Wechselwirkung liefert.
123681098
Zur Theorie der elektronenoptischen Linsenfehler
ZusammenfassungIst der Verlauf des Potentials auf der optischen Achse einer elektrischen Elektronenlinse gegeben, so lassen sich die Linsenfehler und die Form der Elektroden berechnen.