activity
20192025
most citedLow-regularity integrators for nonlinear Dirac equations

11 citations · 16 across the 10 of their papers we have counts for

collaborators

16 papers

math.NA2025

Time-relaxation structure-preserving explicit low-regularity integrators for the nonlinear Schrödinger equation

Hang Li, Xicui Li, Katharina Schratz +1

We propose and rigorously analyze a novel family of explicit low-regularity exponential integrators for the nonlinear Schrödinger (NLS) equation, based on a time-relaxation framewo…

math.NA2025

Resonances and computations

Yvain Bruned, Frédéric Rousset, Katharina Schratz

The computation of time dynamics arising in nonlinear time-dependent partial differential equations is an ongoing challenge in numerical analysis, especially once roughness comes i…

math.NA2024

Computing rough solutions of the stochastic nonlinear wave equation

Jiachuan Cao, Buyang Li, Katharina Schratz

The regularity of solutions to the stochastic nonlinear wave equation plays a critical role in the accuracy and efficiency of numerical algorithms. Rough or discontinuous initial c…

math.NA20222 cited

Improved uniform error bounds on a Lawson-type exponential integrator for the long-time dynamics of sine--Gordon equation

Yue Feng, Katharina Schratz

We establish the improved uniform error bounds on a Lawson-type exponential integrator Fourier pseudospectral (LEI-FP) method for the long-time dynamics of sine-Gordon equation whe…

math.NA2022

Low regularity integrators for semilinear parabolic equations with maximum bound principles

Cao-Kha Doan, Thi-Thao-Phuong Hoang, Lili Ju +1

This paper is concerned with conditionally structure-preserving, low regularity time integration methods for a class of semilinear parabolic equations of Allen-Cahn type. Important…

math.NA2022

A second-order low-regularity correction of Lie splitting for the semilinear Klein--Gordon equation

Buyang Li, Katharina Schratz, Franco Zivcovich

The numerical approximation of the semilinear Klein--Gordon equation in the -dimensional space, with , is studied by analyzing the consistency errors in approximating t…