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  • A Prolegomenon to Differential Equations and Variational Methods on Graphs

    A Prolegomenon to Differential Equations and Variational Methods on Graphs by van Gennip, Yves; Budd, Jeremy;

    Series: Elements in Non-local Data Interactions: Foundations and Applications;

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      • Publisher's listprice GBP 18.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        8 599 Ft (8 190 Ft + 5% VAT)
      • Discount 20% (cc. 1 720 Ft off)
      • Discounted price 6 880 Ft (6 552 Ft + 5% VAT)

    8 599 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Cambridge University Press
    • Date of Publication 27 February 2025

    • ISBN 9781009346634
    • Binding Paperback
    • No. of pages100 pages
    • Size 228x151x1 mm
    • Weight 160 g
    • Language English
    • 632

    Categories

    Short description:

    A bird's eye view of theoretical developments and concrete applications that will enable newcomers to get a flavour of key&&&160;results.

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    Long description:

    The use of differential equations on graphs as a framework for the mathematical analysis of images emerged about fifteen years ago and since then it has burgeoned, and with applications also to machine learning. The authors have written a bird's eye view of theoretical developments that will enable newcomers to quickly get a flavour of key results and ideas. Additionally, they provide an substantial bibliography which will point readers to where fuller details and other directions can be explored. This title is also available as open access on Cambridge Core.

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    Table of Contents:

    1. Introduction; 2. History and literature overview; 3. Calculus on undirected edge-weighted graphs; 4. Directed graphs; 5. The graph Ginzburg-Landau functional; 6. Spectrum of the graph Laplacians; 7. Gradient flow: Allen-Cahn; 8. Merriman-Bence-Osher scheme; 9. Graph curvature and mean curvature flow; 10. Freezing of Allen-Cahn, MBO, and mean curvature flow; 11. Multiclass extensions; 12. Laplacian learning and Poisson learning; 13. Conclusions; Bibliography.

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