Papers › Online optimisation for dynamic electrical impedance tomography
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 nonlinear time-discrete inverse problems. We analyse the method through regret theory and demonstrate its performance in real-time monitoring of moving bodies in a fluid with Electrical Impedance Tomography (EIT). To do so, we also prove the second-order differentiability of the Complete Electrode Model (CEM) solution operator on L^∞.
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