Scaled Relative Graph: Nonexpansive operators via 2D Euclidean Geometry
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Abstract (arXiv)
Many iterative methods in applied mathematics can be thought of as fixed-point iterations, and such algorithms are usually analyzed analytically, with inequalities. In this paper, we present a geometric approach to analyzing contractive and nonexpansive fixed point iterations with a new tool called the scaled relative graph (SRG). The SRG provides a correspondence between nonlinear operators and subsets of the 2D plane. Under this framework, a geometric argument in the 2D plane becomes a rigorous proof of convergence.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Feb 2019.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 1; 2025: 1; 2026: 1.
5 papers.
- 2021Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivitycited by 39
- 2021Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orderscited by 13
- 2025Multiplayer Federated Learning: Reaching Equilibrium with Less Communicationcited by 5
- 2024Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approachcited by 0
- 2026Robustly Invertible Nonlinear Dynamics and the BiLipREN: From Inversion-Based Control to Generative Trajectory Modellingcited by 0
- 2026Robustly Invertible Nonlinear Dynamics and the BiLipREN: From Inversion-Based Control to Generative Trajectory Modelling10 Jul 2026
- 2025Multiplayer Federated Learning: Reaching Equilibrium with Less Communication14 Jan 2025
- 2024Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach18 Oct 2024
- 2021Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity8 Oct 2021
- 2021Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders25 Apr 2021