Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,085

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Total-Variation-Diminishing Time Discretizations

Shu, Chi-Wang·1988·SIAM Journal on Scientific and Statistical Computing

Abstract

In the computation of conservation laws $u_t + f(u)_x = 0$, total-variation-diminishing (TVD) schemes have been very successful. Many TVD schemes are of method-of-lines form (i.e., discretized in spatial variables only); hence time discretizations that keep TVD and have other properties (e.g., large CFL numbers for steady state calculations, or high-order accuracy for time-dependent problems) are desirable. In this paper we present a class of m-step Runge–Kutta-type TVD time discretizations with large CFL number m, suitable for steady state calculations, and a class of multilevel type TVD high-order time discretizations suitable for time-dependent problems. Some preliminary numerical results are also given.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1137/0909073

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 8 references

Cited by

See all 1,085

Metadata

Authors
Shu, C.-W.
Venue
SIAM Journal on Scientific and Statistical Computing
Published
1988-11
Volume
9
Issue
6
Pages
1073-1084
ISSN
  • 0196-5204 (ISSN-L)
  • 2168-3417
OpenAlex
W2093711514
Cited by
1,085
References
8
FWCI
3.05
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Total-Variation-Diminishing Time Discretizations. https://app.cochat.ai/papers/10.1137/0909073
The paper
Shu, C.-W. (1988). Total-Variation-Diminishing Time Discretizations. SIAM Journal on Scientific and Statistical Computing. https://doi.org/10.1137/0909073

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.