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

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Abstract

The book tries to address a relatively broad audience, from a variety of disciplines. Therefore, we make minimal assumptions on previous mathematical knowledge and attempt to have a self-contained book. In addition, to increase clarity and readability we sometimes avoid getting into some less crucial mathematical details. In these cases, we refer the reader to appropriate references with the complete formal definitions and settings.

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Correspondence to Guy Gilboa .

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Gilboa, G. (2018). Mathematical Preliminaries. 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_1

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  • DOI: https://doi.org/10.1007/978-3-319-75847-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75846-6

  • Online ISBN: 978-3-319-75847-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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