Demo Data from EDBT 2026 / reviewers in the wild / expert
Stephan Artmann
dblp:187/5102
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization
integer programming |
0.3 | 1 | 2017 | A strongly polynomial algorithm for bimodular integer linear programming · STOC 2017 |
Mathematical optimization › linear programming
strongly polynomial algorithms |
0.3 | 1 | 2017 | A strongly polynomial algorithm for bimodular integer linear programming · STOC 2017 |
Methods — techniques the papers use, named apart from their topics
total unimodularity · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | A strongly polynomial algorithm for bimodular integer linear programmingabstractWe present a strongly polynomial algorithm to solve integer programs of the form max{cT x: Ax≤ b, xεℤn }, for AεℤmXn with rank(A)=n, bε≤m, cε≤n, and where all determinants of (nXn)-sub-matrices of A are bounded by 2 in absolute value. In particular, this implies that integer programs max{cT x : Q x≤ b, xεℤ≥0n}, where Qε ℤmXn has the property that all subdeterminants are bounded by 2 in absolute value, can be solved in strongly polynomial time. We thus obtain an extension of the well-known result that integer programs with constraint matrices that are totally unimodular are solvable in strongly polynomial time. Stephan Artmann, Robert Weismantel, Rico Zenklusen |
STOC | 1 |