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A Prolegomenon to Differential Equations and Variational Methods on Graphs

Expected online publication date:  24 February 2025

Yves van Gennip
Affiliation:
Delft University of Technology
Jeremy Budd
Affiliation:
California Institute of Technology

Summary

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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Information
Online ISBN: 9781009346641
Publisher: Cambridge University Press
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC-ND 4.0 https://creativecommons.org/cclicenses/

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A Prolegomenon to Differential Equations and Variational Methods on Graphs
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A Prolegomenon to Differential Equations and Variational Methods on Graphs
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A Prolegomenon to Differential Equations and Variational Methods on Graphs
Available formats No formats are currently available for this content.
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