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math.OC2024
Online optimisation for dynamic electrical impedance tomography
Neil Dizon, Jyrki Jauhiainen, Tuomo Valkonen
Online optimisation studies the convergence of optimisation methods as the data embedded in the problem changes. Based on this idea, we propose a primal dual online method for nonl…
math.OC2024
Differential estimates for fast first-order multilevel nonconvex optimisation
Neil Dizon, Tuomo Valkonen
With a view on bilevel and PDE-constrained optimisation, we develop iterative estimates of for composite functions , where is the…
math.OC2024★ 1 cited
Prediction techniques for dynamic imaging with online primal-dual methods
Neil Dizon, Jyrki Jauhiainen, Tuomo Valkonen
Online optimisation facilitates the solution of dynamic inverse problems, such as image stabilisation, fluid flow monitoring, and dynamic medical imaging. In this paper, we improve…