2020/05/14 by Jérémy E. Cohen, Cohen, Jeremy E.
Computer Science · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Iterative Methods for Nonlinear Equations #Matrix Theory and Algorithms #Optimization and Control (math.OC)
paper · pdf · doi:10.48550/arxiv.2005.06804
openalex publication_date 2020/05/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this short article, for any matrix X∈ℝn× m the proximity operator of two induced norms ‖X‖1 and ‖X‖∞ are derived. Although no close form expression is obtained, an algorithmic procedure is described which costs roughly O(nm). This algorithm relies on a bisection on a real parameter derived from the Karush-Kuhn-Tucker conditions, following the proof idea of the proximal operator of the max function found in Parikh(2014).