On semismooth* path-following method and uniformity of strong metric subregularity at/around the reference point
Abstract
This paper investigates a path-following method inspired by the semismooth* approach for solving algebraic inclusions, with a primary emphasis on the role of uniform subregularity. Uniform subregularity is crucial for ensuring the robustness and stability of path-following methods, as it provides a framework to uniformly control the distance between the input and the solution set across a continuous path. We explore the problem of finding a mapping x: R Rn that satisfies 0 ∈ F(t, x(t)) for each t ∈ [0, T] , where F is a set-valued mapping from R × Rn to Rn . The paper discusses two approaches: the first considers mappings with uniform semismooth* properties along continuous paths, leading to a consistent grid error throughout the interval, while the second examines mappings exhibiting pointwise semismooth* properties at individual points along the path. The uniform strong subregularity framework is integrated into these approaches to strengthen the stability of solution trajectories and improve algorithmic convergence.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.