Proximity Operators of Perspective Functions with Nonlinear Scaling

Fuente: arXiv
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Autori principali: Briceño-Arias, Luis M., Combettes, Patrick L., Silva, Francisco J.
Natura: Preprint
Pubblicazione: 2023
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author Briceño-Arias, Luis M.
Combettes, Patrick L.
Silva, Francisco J.
author_facet Briceño-Arias, Luis M.
Combettes, Patrick L.
Silva, Francisco J.
contents A perspective function is a construction which combines a base function defined on a given space with a nonlinear scaling function defined on another space and which yields a lower semicontinuous convex function on the product space. Since perspective functions are typically nonsmooth, their use in first-order algorithms necessitates the computation of their proximity operator. This paper establishes closed-form expressions for the proximity operator of a perspective function defined on a Hilbert space in terms of a proximity operator involving its base function and one involving its scaling function.
format Preprint
id arxiv_https___arxiv_org_abs_2303_05337
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Proximity Operators of Perspective Functions with Nonlinear Scaling
Briceño-Arias, Luis M.
Combettes, Patrick L.
Silva, Francisco J.
Optimization and Control
A perspective function is a construction which combines a base function defined on a given space with a nonlinear scaling function defined on another space and which yields a lower semicontinuous convex function on the product space. Since perspective functions are typically nonsmooth, their use in first-order algorithms necessitates the computation of their proximity operator. This paper establishes closed-form expressions for the proximity operator of a perspective function defined on a Hilbert space in terms of a proximity operator involving its base function and one involving its scaling function.
title Proximity Operators of Perspective Functions with Nonlinear Scaling
topic Optimization and Control
url https://arxiv.org/abs/2303.05337