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.
CITATION STYLE
Burger, M., Kaltenbacher, B., & Neubauer, A. (2015). Iterative solutionmethods. In Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition (pp. 431–470). Springer New York. https://doi.org/10.1007/978-1-4939-0790-8_9
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