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In this work a novel strategy that combines Domain Decomposition, Differential Algebraic Equations (DAE) and Minimax Estimation is created to contruct a numerical solution for a linear non stationary advection-diffusion equation. The proposed approach helps to control the error introduced by Domain Decomposition and FEM discretisation and allows to combine(More)
We consider robust optimization for polynomial optimization problems where the uncertainty set is a set of candidate probability density functions. This set is a ball around a density function estimated from data samples, i.e., it is data-driven and random. Polynomial optimization problems are inherently hard due to noncon-vex objectives and constraints.(More)
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