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Threshold dynamics for high order geometric motions
Author(s) -
Selim Esedoḡlu,
Steven J. Ruuth,
Richard TzongHan Tsai
Publication year - 2008
Publication title -
interfaces and free boundaries mathematical analysis computation and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.964
H-Index - 39
eISSN - 1463-9971
pISSN - 1463-9963
DOI - 10.4171/ifb/189
Subject(s) - curvature , geometric flow , thresholding , planar , motion (physics) , feature (linguistics) , mathematics , convolution (computer science) , flow (mathematics) , stability (learning theory) , class (philosophy) , surface (topology) , computer science , diffusion , geometry , artificial intelligence , image (mathematics) , physics , linguistics , philosophy , computer graphics (images) , machine learning , artificial neural network , thermodynamics
A class of algorithms for the high order geometric motion of planar curves is developed. The algorithms alternate two simple steps—a convolution and a thresholding step—to evolve planar curves according to combinations of Willmore flow, surface diffusion flow and curvature motion. A distinguishing feature of the methods is that they possess much better stability than typical explicit algorithms. Formal expansions and numerical examples are provided for a variety of high order flows to validate the methods and illustrate their behaviors.

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