Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis

Ido Cohen, Adi Falik, Guy Gilboa

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

6 ציטוטים ‏(Scopus)

תקציר

Implementation of nonlinear flows by explicit schemes can be very convenient, due to their simplicity and low-computational cost per time step. A well known drawback is the small time step bound, referred to as the CFL condition, which ensures a stable flow. For p-Laplacian flows, with (Formula Presented), explicit schemes without gradient regularization require, in principle, a time step approaching zero. However, numerical implementations show explicit flows with small time-steps are well behaved. We can now explain and quantify this phenomenon. In this paper we examine explicit p-Laplacian flows by analyzing the evolution of nonlinear eigenfunctions, with respect to the p-Laplacian operator. For these cases analytic solutions can be formulated, allowing for a comprehensive analysis. A generalized CFL condition is presented, relating the time step to the inverse of the nonlinear eigenvalue. Moreover, we show that the flow converges and formulate a bound on the error of the discrete scheme. Finally, we examine general initial conditions and propose a dynamic time-step bound, which is based on a nonlinear Rayleigh quotient.

שפה מקוריתאנגלית
כותר פרסום המארחScale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings
עורכיםJan Lellmann, Jan Modersitzki, Martin Burger
עמודים315-327
מספר עמודים13
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 2019
פורסם באופן חיצוניכן
אירוע7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019 - Hofgeismar, גרמניה
משך הזמן: 30 יוני 20194 יולי 2019

סדרות פרסומים

שםLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
כרך11603 LNCS
ISSN (מודפס)0302-9743
ISSN (אלקטרוני)1611-3349

כנס

כנס7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019
מדינה/אזורגרמניה
עירHofgeismar
תקופה30/06/194/07/19

טביעת אצבע

להלן מוצגים תחומי המחקר של הפרסום 'Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis'. יחד הם יוצרים טביעת אצבע ייחודית.

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