◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Svärd

5 papers hereh-index 00 citations0 works total

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

author position
  • sole author1
  • first author2
  • middle author1
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • math.NA3
  • math.AP1
  • physics.flu-dyn1
same name
  • M. Svärd — 1 paper, h 24

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
20112026
most citedReview of Summation-by-parts schemes for initial-boundary-value problems

432 citations · 450 across the 4 of their papers we have counts for

collaborators
Showing math.NAShow all

3 papers · 1 filter

math.NA2023

A novel energy-bounded Boussinesq model and a well balanced and stable numerical discretisation

Magnus Svärd, Henrik Kalisch

In this work, a novel Boussinesq system is put forward. The system is naturally nonlinearly entropy/energy-stable, and is designed for problems with sharply varying bathymetric fea…

math.NA2020★ 6 cited

Stability issues of entropy-stable and/or split-form high-order schemes

Gregor J. Gassner, Magnus Svärd, Florian J. Hindenlang

The focus of the present research is on the analysis of local energy stability of high-order (including split-form) summation-by-parts methods, with e.g. two-point entropy-conservi…

math.NA2013★ 432 cited

Review of Summation-by-parts schemes for initial-boundary-value problems

Magnus Svärd, Jan Nordström

High-order finite difference methods are efficient, easy to program, scales well in multiple dimensions and can be modified locally for various reasons (such as shock treatment for…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.