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20152025
most citedOn stochastic differential equations with arbitrary slow convergence rates for strong approximation

30 citations · 49 across the 7 of their papers we have counts for

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5 papers · 1 filter

math.NA2025

On the performance of the Euler-Maruyama scheme for multidimensional SDEs with discontinuous drift coefficient

Thomas Müller-Gronbach, Christopher Rauhögger, Larisa Yaroslavtseva

We study strong approximation of -dimensional stochastic differential equations (SDEs) with a discontinuous drift coefficient. More precisely, we essentially assume that the dri…

math.NA2018★ 3 cited

On the performance of the Euler-Maruyama scheme for SDEs with discontinuous drift coefficient

Thomas Müller-Gronbach, Larisa Yaroslavtseva

Recently a lot of effort has been invested to analyze the -error of the Euler-Maruyama scheme in the case of stochastic differential equations (SDEs) with a drift coefficient…

math.NA2017

Lower Error Bounds for Strong Approximation of Scalar SDEs with non-Lipschitzian Coefficients

Mario Hefter, André Herzwurm, Thomas Müller-Gronbach

We study pathwise approximation of scalar stochastic differential equations at a single time point or globally in time by means of methods that are based on finitely many observati…

math.NA2016★ 2 cited

On hard quadrature problems for marginal distributions of SDEs with bounded smooth coefficients

Thomas Müller-Gronbach, Larisa Yaroslavtseva

In recent work of Hairer, Hutzenthaler and Jentzen, see [9], a stochastic differential equation (SDE) with infinitely often differentiable and bounded coefficients was constructed…

math.NA2015★ 30 cited

On stochastic differential equations with arbitrary slow convergence rates for strong approximation

Arnulf Jentzen, Thomas Müller-Gronbach, Larisa Yaroslavtseva

In the recent article [Hairer, M., Hutzenthaler, M., Jentzen, A., Loss of regularity for Kolmogorov equations, Ann. Probab. 43 (2015), no. 2, 468--527] it has been shown that there…