Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis

Ido Cohen, Adi Falik, Guy Gilboa

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

6 اقتباسات (Scopus)

ملخص

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.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفScale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings
المحررونJan Lellmann, Jan Modersitzki, Martin Burger
الصفحات315-327
عدد الصفحات13
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2019
منشور خارجيًانعم
الحدث7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019 - Hofgeismar, ألمانيا
المدة: ٣٠ يونيو ٢٠١٩٤ يوليو ٢٠١٩

سلسلة المنشورات

الاسمLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
مستوى الصوت11603 LNCS
رقم المعيار الدولي للدوريات (المطبوع)0302-9743
رقم المعيار الدولي للدوريات (الإلكتروني)1611-3349

!!Conference

!!Conference7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019
الدولة/الإقليمألمانيا
المدينةHofgeismar
المدة٣٠/٠٦/١٩٤/٠٧/١٩

بصمة

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