Least squares and bounded variation regularization with nondifferentiable functionals
作者:
M. Z. Nashed,
O. Scherzer,
期刊:
Numerical Functional Analysis and Optimization
(Taylor Available online 1998)
卷期:
Volume 19,
issue 7-8
页码: 873-901
ISSN:0163-0563
年代: 1998
DOI:10.1080/01630569808816863
出版商: Marcel Dekker, Inc.
数据来源: Taylor
摘要:
LetAbe an operator from a real Banach space into a real Hilbert space. In this paper we study least squares regularization methods for the ill-posed operator equationA(u) =fusing nonlinear nondifferentiable penalty functionals. We introduce a notion of distributional approximation, and use constructs of distributional approximations to establish convergence and stability of approximations of bounded variation solutions of the operator equation. We also show that the results provide a framework for a rigorous analysis of numerical methods based on Euler-Lagrange equations to solve the minimization problem. This justifies many of the numerical implementation schemes of bounded variation minimization that have been recently proposed.
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