Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 164

The DOI matches its Crossref record.

Very Large-Scale Linear Programming: A Case Study in Combining Interior Point and Simplex Methods

Bixby, Robert E., Gregory, John W., Lustig, Irvin J., Marsten, Roy E., Shanno, David F.·1992·Operations Research

Abstract

Experience with solving a 12.753.313 variable linear program is described. This problem is the linear programming relaxation of a set partitioning problem arising from an airline crew scheduling application. A scheme is described that requires successive solutions of small subproblems, yielding a procedure that has little growth in solution time in terms of the number of variables. Experience using the simplex method as implemented in CPLEX, an interior point method as implemented in OBI, and a hybrid interior point/simplex approach is reported. The resulting procedure illustrates the power of an interior point/simplex combination for solving very large-scale linear programs.

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 · 10.1287/opre.40.5.885

Cites

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

Cited by

See all 164

Metadata

Authors
Bixby, R. E., Gregory, J. W., Lustig, I. J., Marsten, R. E., & Shanno, D. F.
Venue
Operations Research
Published
1992-10
Volume
40
Issue
5
Pages
885-897
ISSN
  • 0030-364X (ISSN-L)
  • 1526-5463
OpenAlex
W2168047345
Cited by
164
References
0
FWCI
10.10
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: Very Large-Scale Linear Programming: A Case Study in Combining Interior Point and Simplex Methods. https://app.cochat.ai/papers/10.1287/opre.40.5.885
The paper
Bixby, R. E., Gregory, J. W., Lustig, I. J., Marsten, R. E., & Shanno, D. F. (1992). Very Large-Scale Linear Programming: A Case Study in Combining Interior Point and Simplex Methods. Operations Research. https://doi.org/10.1287/opre.40.5.885

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.