Richardson's iteration for nonsymmetric matrices
By G. Opfer, G. Schober. 1984
Subfields: Numerical Methods & Scientific Computing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Numerical Methods & Scientific Computing
- Simon Lacoste-Julien
- Asuman E. Ozdaglar
- Waïss Azizian
- Ioannis Mitliagkas
- Noah Golowich
- Constantinos Daskalakis
- Sarath Pattathil
- Gauthier Gidel
Citations in the corpus
- A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games (2019, methodology): “- extrapolation methods with different step sizes for each extrapolation: - cyclic Richardson iterations (Opfer and Schober, 1984): methods whose update is composed of successive gradient steps with possibly different step sizes for each and any combination of with at most k composed gradient…”
- Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems (2020, background): “• Cyclic Richardson iterations (Opfer and Schober (1984)), in which a single update from z ( t ) to z ( t +1) consists of a sequence of k gradient updates with different step-sizes η 1 , . . . , η k (so that the step sizes cycle between η 1 , . . . , η k ).”
- A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games (2020, methodology): “- extrapolation methods with different step sizes for each extrapolation: - cyclic Richardson iterations (Opfer and Schober, 1984): methods whose update is composed of successive gradient steps with possibly different step sizes for each and any combination of these with at most k composed gradient…”