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Existence of Dynamical Low-Rank Approximation for SDEs with Locally Lipschitz Coefficients

Kazashi, Yoshihito et al.
arXiv (All) · Papers
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65c30numerical-analysis
Numerical simulations of high-dimensional stochastic differential equations (SDEs), which are increasingly employed in real-world applications, can be unaffordable in terms of computational time and memory. A possible solution is the deployment of reduced order methods (ROMs) that provide fast simul
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