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Published in 2021 at "Advances in Computational Mathematics"
DOI: 10.1007/s10444-020-09834-7
Abstract: We demonstrate that deep neural networks with the ReLU activation function can efficiently approximate the solutions of various types of parametric linear transport equations. For non-smooth initial conditions, the solutions of these PDEs are high-dimensional…
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Keywords:
efficient approximation;
parametric linear;
transport equations;
linear transport ... See more keywords
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Published in 2017 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-016-0968-0
Abstract: Parametric convex programming has received a lot of attention, since it has many applications in chemical engineering, control engineering, signal processing, etc. Further, inverse optimality plays an important role in many contexts, e.g., image processing,…
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Keywords:
solution inverse;
constructive solution;
control;
linear quadratic ... See more keywords
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Published in 2020 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2019.123661
Abstract: Abstract In this paper, firstly, we aim to investigate analytic continuations of altogether four types of parametric linear Euler sums, by using the Euler-Maclaurin summation formula and the Euler-Boole summation formula. Secondly, we show how…
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Keywords:
euler;
formula;
linear euler;
euler sums ... See more keywords