Semiglobal exponential stability of the discrete-time Arrow-Hurwicz-Uzawa primal-dual algorithm for constrained optimization
成果类型:
Article
署名作者:
Bin, Michelangelo; Notarnicola, Ivano; Parisini, Thomas
署名单位:
University of Bologna; Imperial College London; University of Cyprus; University of Trieste
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-023-02051-2
发表日期:
2024
页码:
629-660
关键词:
Distributed optimization
DYNAMICS
CONVERGENCE
摘要:
We consider the discrete-time Arrow-Hurwicz-Uzawa primal-dual algorithm, also known as the first-order Lagrangian method, for constrained optimization problems involving a smooth strongly convex cost and smooth convex constraints. We prove that, for every given compact set of initial conditions, there always exists a sufficiently small stepsize guaranteeing exponential stability of the optimal primal-dual solution of the problem with a domain of attraction including the initialization set. Inspired by the analysis of nonlinear oscillators, the stability proof is based on a non-quadratic Lyapunov function including a nonlinear cross term.
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