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J. Roth

11 papers hereh-index 7136 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author8

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • math.NA5
  • cs.SD2
  • eess.AS2
  • cs.LG1
  • math.OC1
same name
  • J. Roth — 31 papers, h 13
  • J. Roth — 21 papers, h 27
  • J. Roth — 16 papers, h 8
  • J. Roth — 12 papers, h 2
  • J. Roth — 10 papers, h 16
  • J. Roth — 5 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedTensor-product space-time goal-oriented error control and adaptivity with partition-of-unity dual-weighted residuals for nonstationary flow problems

2 citations · 6 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

math.NA2023★ 1 cited

Adaptive space-time model order reduction with dual-weighted residual (MORe DWR) error control for poroelasticity

Hendrik Fischer, Julian Roth, Ludovic Chamoin +3

In this work, the space-time MORe DWR (Model Order Reduction with Dual-Weighted Residual error estimates) framework is extended and further developed for single-phase flow problems…

math.NA2023

A monolithic space-time temporal multirate finite element framework for interface and volume coupled problems

Julian Roth, Martyna Soszyńska, Thomas Richter +1

In this work, we propose and computationally investigate a monolithic space-time multirate scheme for coupled problems. The novelty lies in the monolithic formulation of the multir…

math.NA2023

MORe DWR: Space-time goal-oriented error control for incremental POD-based ROM

Hendrik Fischer, Julian Roth, Thomas Wick +2

In this work, the dual-weighted residual (DWR) method is applied to obtain a certified incremental proper orthogonal decomposition (POD) based reduced order model. A novel approach…

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