Iterative Solution Methods
Burger M, Kaltenbacher B, Neubauer A (2015)
Publication Language: English
Publication Type: Book chapter / Article in edited volumes
Publication year: 2015
Publisher: Springer New York
Edited Volumes: Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition
Pages Range: 431-470
ISBN: 9781493907892
DOI: 10.1007/978-1-4939-0790-8_9
Abstract
This chapter deals with iterative methods for nonlinear ill-posed problems. We present gradient and Newton type methods as well as nonstandard iterative algorithms such as Kaczmarz, expectation maximization, and Bregman iterations. Our intention here is to cite convergence results in the sense of regularization and to provide further references to the literature.
Authors with CRIS profile
Involved external institutions
Johannes Kepler Universität (JKU) Linz
Austria (AT)
Alpen-Adria-Universität Klagenfurt
Austria (AT)
Westfälische Wilhelms-Universität (WWU) Münster
Germany (DE)
Austria (AT)
Alpen-Adria-Universität Klagenfurt
Austria (AT)
Westfälische Wilhelms-Universität (WWU) Münster
Germany (DE)
How to cite
APA:
Burger, M., Kaltenbacher, B., & Neubauer, A. (2015). Iterative Solution Methods. In Scherzer, O (Eds.), Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition. (pp. 431-470). Springer New York.
MLA:
Burger, Martin, Barbara Kaltenbacher, and Andreas Neubauer. "Iterative Solution Methods." Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition. Ed. Scherzer, O, Springer New York, 2015. 431-470.
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