Andreas Prohl

Andreas Prohl

Eberhard Karls Universität Tübingen

H-index: 32

Europe-Germany

About Andreas Prohl

Andreas Prohl, With an exceptional h-index of 32 and a recent h-index of 20 (since 2020), a distinguished researcher at Eberhard Karls Universität Tübingen, specializes in the field of applied mathematics, numerical analysis, stochastic analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Convergence with rates for a Riccati-based discretization of SLQ problems with SPDEs

Higher order time discretization for the stochastic semilinear wave equation with multiplicative noise

Weak error analysis for the stochastic Allen–Cahn equation

Data-dependent density estimation for the Fokker-Planck equation in higher dimensions

Computational methods in applied mathematiCs

Numerical approximation of nonlinear SPDE’s

Error analysis for 2D stochastic Navier–Stokes equations in bounded domains with Dirichlet data

Mean Square Temporal error estimates for the 2D stochastic Navier-Stokes equations with transport noise

Andreas Prohl Information

University

Position

Professor of Mathematics

Citations(all)

3970

Citations(since 2020)

1462

Cited By

3096

hIndex(all)

32

hIndex(since 2020)

20

i10Index(all)

68

i10Index(since 2020)

39

Email

University Profile Page

Eberhard Karls Universität Tübingen

Google Scholar

View Google Scholar Profile

Andreas Prohl Skills & Research Interests

applied mathematics

numerical analysis

stochastic analysis

Top articles of Andreas Prohl

Title

Journal

Author(s)

Publication Date

Convergence with rates for a Riccati-based discretization of SLQ problems with SPDEs

IMA Journal of Numerical Analysis

Andreas Prohl

Yanqing Wang

2024/1/17

Higher order time discretization for the stochastic semilinear wave equation with multiplicative noise

IMA Journal of Numerical Analysis

Xiaobing Feng

Akash Ashirbad Panda

Andreas Prohl

2024/3

Weak error analysis for the stochastic Allen–Cahn equation

Stochastics and Partial Differential Equations: Analysis and Computations

Dominic Breit

Andreas Prohl

2024/2/22

Data-dependent density estimation for the Fokker-Planck equation in higher dimensions

arXiv preprint arXiv:2401.14685

Max Jensen

Fabian Merle

Andreas Prohl

2024/1/26

Computational methods in applied mathematiCs

Vidar Thomée

Piotr P Matus

Almas Sherbaf

Ulrich Langer

Sergey I Repin

...

2023

Numerical approximation of nonlinear SPDE’s

Stochastics and Partial Differential Equations: Analysis and Computations

Martin Ondreját

Andreas Prohl

Noel J Walkington

2023/12

Error analysis for 2D stochastic Navier–Stokes equations in bounded domains with Dirichlet data

Foundations of Computational Mathematics

Dominic Breit

Andreas Prohl

2023/10/26

Mean Square Temporal error estimates for the 2D stochastic Navier-Stokes equations with transport noise

arXiv preprint arXiv:2305.10999

Dominic Breit

Thamsanqa Castern Moyo

Andreas Prohl

2023/5/18

A posteriori error analysis and adaptivity for high-dimensional elliptic and parabolic boundary value problems

Numerische Mathematik

Fabian Merle

Andreas Prohl

2023/4/24

Strong error estimates for a space-time discretization of the linear-quadratic control problem with the stochastic heat equation with linear noise

IMA Journal of Numerical Analysis

Andreas Prohl

Yanqing Wang

2022/10

Optimal control for a coupled spin-polarized current and magnetization system

Advances in Computational Mathematics

Xin An

Ananta K Majee

Andreas Prohl

Thanh Tran

2022/6

A posteriori error estimation and space-time adaptivity for a linear stochastic PDE with additive noise

IMA Journal of Numerical Analysis

AK Majee

Andreas Prohl

2021/3

An adaptive time-stepping method based on a posteriori weak error analysis for large SDE systems

Numerische Mathematik

Fabian Merle

Andreas Prohl

2021/10

Strong rates of convergence for a space-time discretization of the backward stochastic heat equation, and of a linear-quadratic control problem for the stochastic heat equation

ESAIM: Control, Optimisation and Calculus of Variations

Andreas Prohl

Yanqing Wang

2021

Optimally convergent mixed finite element methods for the stochastic Stokes equations

IMA Journal of Numerical Analysis

Xiaobing Feng

Andreas Prohl

Liet Vo

2021/7

Numerical analysis for nematic electrolytes

IMA Journal of Numerical Analysis

Ľubomír Baňas

Robert Lasarzik

Andreas Prohl

2021/7

Existence, uniqueness and regularity for the stochastic Ericksen–Leslie equation

Nonlinearity

Anne De Bouard

Antoine Hocquet

Andreas Prohl

2021/6/21

Numerical analysis of 2D Navier--Stokes equations with additive stochastic forcing

arXiv preprint arXiv:2110.05894

Dominic Breit

Andreas Prohl

2021/10/12

Numerical approximation of the stochastic Cahn–Hilliard equation near the sharp interface limit

Numerische Mathematik

Dimitra Antonopoulou

Ĺubomír Baňas

Robert Nürnberg

Andreas Prohl

2021/3

See List of Professors in Andreas Prohl University(Eberhard Karls Universität Tübingen)