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19992022
most citedSolving high-dimensional partial differential equations using deep learning

1.8k citations

Showing 2016Show all

11 papers · 1 filter

math.PR2016★ 12 cited

On the mild Itô formula in Banach spaces

Sonja Cox, Arnulf Jentzen, Ryan Kurniawan +1

The mild Ito formula proposed in Theorem 1 in [Da Prato, G., Jentzen, A., \& Röckner, M., A mild Ito formula for SPDEs, arXiv:1009.3526 (2012), To appear in the Trans.\ Amer.\ Math…

math.AP2016★ 14 cited

Regularity properties for solutions of infinite dimensional Kolmogorov equations in Hilbert spaces

Adam Andersson, Mario Hefter, Arnulf Jentzen +1

In this article we establish regularity properties for solutions of infinite dimensional Kolmogorov equations. We prove that if the nonlinear drift coefficients, the nonlinear diff…

math.PR2016★ 2 cited

On the differentiability of solutions of stochastic evolution equations with respect to their initial values

Adam Andersson, Arnulf Jentzen, Ryan Kurniawan +1

In this article we study the differentiability of solutions of parabolic semilinear stochastic evolution equations (SEEs) with respect to their initial values. We prove that if the…

math.PR2016★ 15 cited

Exponential moments for numerical approximations of stochastic partial differential equations

Arnulf Jentzen, Primož Pušnik

Stochastic partial differential equations (SPDEs) have become a crucial ingredient in a number of models from economics and the natural sciences. Many SPDEs that appear in such app…

math.NA2016

Convergence rates of finite difference schemes for the linear advection and wave equation with rough coefficient

Franziska Weber

We prove convergence rates of explicit finite difference schemes for the linear advection and wave equation in one space dimension with Hölder continuous coefficient. The obtained…

math.NA2016★ 69 cited

Multilevel Picard iterations for solving smooth semilinear parabolic heat equations

Weinan E, Martin Hutzenthaler, Arnulf Jentzen +1

We introduce a new family of numerical algorithms for approximating solutions of general high-dimensional semilinear parabolic partial differential equations at single space-time p…

math.AP2016★ 29 cited

Statistical solutions of hyperbolic conservation laws I: Foundations

Ulrik Skre Fjordholm, Samuel Lanthaler, Siddhartha Mishra

We seek to define statistical solutions of hyperbolic systems of conservation laws as time-parametrized probability measures on -integrable functions. To do so, we prove the equ…

math.NA2016★ 22 cited

Convergence in Hölder norms with applications to Monte Carlo methods in infinite dimensions

Sonja Cox, Martin Hutzenthaler, Arnulf Jentzen +2

We show that if a sequence of piecewise affine linear processes converges in the strong sense with a positive rate to a stochastic process which is strongly Hölder continuous in ti…

math.PR2016★ 30 cited

Strong convergence of full-discrete nonlinearity-truncated accelerated exponential Euler-type approximations for stochastic Kuramoto-Sivashinsky equations

Martin Hutzenthaler, Arnulf Jentzen, Diyora Salimova

This article introduces and analyzes a new explicit, easily implementable, and full discrete accelerated exponential Euler-type approximation scheme for additive space-time white n…

math.NA2016

Analysis and Simulation on a Model for the Evolution of Tumors under the Influence of Nutrient and Drug Application

Konstantina Trivisa, Franziska Weber

We investigate the evolution of tumor growth relying on a nonlinear model of partial differential equations which incorporates mechanical laws for tissue compression combined with…

math.PR2016★ 13 cited

Numerical analysis of lognormal diffusions on the sphere

Lukas Herrmann, Annika Lang, Christoph Schwab

Numerical solutions of stationary diffusion equations on the unit sphere with isotropic lognormal diffusion coefficients are considered. Hölder regularity in sense for isotro…