数学
操作员(生物学)
建设性的
规范(哲学)
乘法运算符
操作员规范
计算
拟正规算子
轮班操作员
线性地图
阈值
紧算子
数学优化
有限秩算子
应用数学
离散数学
纯数学
算法
计算机科学
算符理论
希尔伯特空间
基因
扩展(谓词逻辑)
程序设计语言
转录因子
政治学
生物化学
操作系统
化学
图像(数学)
法学
巴拿赫空间
人工智能
抑制因子
过程(计算)
作者
Ashley Prater-Bennette,Lixin Shen,Erin E. Tripp
标识
DOI:10.1016/j.acha.2023.06.007
摘要
This note is to study the proximity operator of hp=‖⋅‖1p, the power function of the ℓ1 norm. For general p, computing the proximity operator requires solving a system of potentially highly nonlinear inclusions. For p=1, the proximity operator of h1 is the well known soft-thresholding operator. For p=2, the function h2 serves as a penalty function that promotes structured solutions to optimization problems of interest; the computation of the proximity operator of h2 has been discussed in recent literature. By examining the properties of the proximity operator of the power function of the ℓ1 norm, we will develop a simple and well-justified approach to compute the proximity operator of hp with p>1. In particular, for the squared ℓ1 norm function, our approach provides an alternative, yet explicit way to finding its proximity operator. We also discuss how the structure of hp represents a class of relative sparsity promoting functions.
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