Note on Steepest Descent Algorithm for Quasi L$^{\natural}$-convex Function Minimization

التفاصيل البيبلوغرافية
العنوان: Note on Steepest Descent Algorithm for Quasi L$^{\natural}$-convex Function Minimization
المؤلفون: Murota, Kazuo, Shioura, Akiyoshi
سنة النشر: 2023
المجموعة: Mathematics
مصطلحات موضوعية: Mathematics - Optimization and Control, Mathematics - Combinatorics, 52A41, 90C27, 90C25
الوصف: We define a class of discrete quasi convex functions, called semi-strictly quasi L$^{\natural}$-convex functions, and show that the steepest descent algorithm for L$^{\natural}$-convex function minimization also works for this class of quasi convex functions. The analysis of the exact number of iterations is also extended, revealing the so-called geodesic property of the steepest descent algorithm when applied to semi-strictly quasi L$^{\natural}$-convex functions.
Comment: 14 pages
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2307.11491
رقم الأكسشن: edsarx.2307.11491
قاعدة البيانات: arXiv