Pontus Giselsson

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20132026

most citedTwo Applications of Deep Learning in the Physical Layer of Communication Systems

78 citations · 173 across the 35 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

math.OC2023★ 1 cited

The Chambolle--Pock method converges weakly with $θ > 1/2$ and $τ σ ∥ L ∥^{2} < 4/ (1 + 2 θ)$

Sebastian Banert, Manu Upadhyaya, Pontus Giselsson

The Chambolle--Pock method is a versatile three-parameter algorithm designed to solve a broad class of composite convex optimization problems, which encompass two proper, lower sem…

math.OC2023★ 8 cited

Automated tight Lyapunov analysis for first-order methods

Manu Upadhyaya, Sebastian Banert, Adrien B. Taylor +1

We present a methodology for establishing the existence of quadratic Lyapunov inequalities for a wide range of first-order methods used to solve convex optimization problems. In pa…

The Chambolle--Pock method converges weakly with θ>1/2 and τσ∥L∥2<4/(1+2θ)

Automated tight Lyapunov analysis for first-order methods

The Chambolle--Pock method converges weakly with $θ > 1/2$ and $τ σ ∥ L ∥^{2} < 4/ (1 + 2 θ)$