Non-intrusive reduced order modeling of nonlinear problems using neural networks

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Given a sequence of functions

f_1,\ldots,f_n

with

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, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

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Non-intrusive reduced order modeling of nonlinear problems using neural networks

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