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        Differential Geometry

        From Elastic Curves to Willmore Surfaces

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        Author(s)
        Pinkall, Ulrich
        Gross, Oliver
        Collection
        DFG - German Research Foundation
        Language
        English
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        Abstract
        This open access book covers the main topics for a course on the differential geometry of curves and surfaces. Unlike the common approach in existing textbooks, there is a strong focus on variational problems, ranging from elastic curves to surfaces that minimize area, or the Willmore functional. Moreover, emphasis is given on topics that are useful for applications in science and computer graphics. Most often these applications are concerned with finding the shape of a curve or a surface that minimizes physically meaningful energy. Manifolds are not introduced as such, but the presented approach provides preparation and motivation for a follow-up course on manifolds, and topics like the Gauss-Bonnet theorem for compact surfaces are covered.
        URI
        https://library.oapen.org/handle/20.500.12657/88305
        Keywords
        Differential Geometry; Surfaces; Curves; Elastic; Minimal; Willmore; Variational Calculus; Riemannian Geometry; Textbook
        DOI
        10.1007/978-3-031-39838-4
        ISBN
        9783031398384, 9783031398384, 9783031398377
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2024
        Grantor
        • Deutsche Forschungsgemeinschaft - [...]
        • Technische Universität Berlin - [...]
        Imprint
        Birkhäuser
        Series
        Compact Textbooks in Mathematics,
        Classification
        Differential and Riemannian geometry
        Pages
        203
        Rights
        http://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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