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Numerical Methods for Finding Eigenfunctions

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Nonlinear Eigenproblems in Image Processing and Computer Vision

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

The solution of nonlinear eigenvalue problems is an active research topic. It appears also in far-related fields of optics, dynamical flows, and more. In the variational context, the research is quite preliminary. We outline the method of Hein and Buhler, based on the Rayleigh quotient. We present in more detail a recent work by Raz Nossek and the author where a flow is used to solve the problem. This can be generalized in various ways. A generalization of Aujol et al., which is well supported theoretically, is outlined at the end of this chapter.

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Correspondence to Guy Gilboa .

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Gilboa, G. (2018). Numerical Methods for Finding Eigenfunctions. In: Nonlinear Eigenproblems in Image Processing and Computer Vision. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-75847-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-75847-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75846-6

  • Online ISBN: 978-3-319-75847-3

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