Abstract
AbstractIn the present work, we propose a reduced‐order method to solve the state estimation problem when nonlinear parametric time‐dependent systems are at hand. The method is based on the approximation of the set of system solutions by means of a tensor train format. The particular structure of tensor train makes it possible to set up both a variational and a sequential method. Several numerical experiments are proposed to assess the behavior of the method.
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