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Stephan Artmann

dblp:187/5102 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Mathematical optimization
integer programming
0.312017
A strongly polynomial algorithm for bimodular integer linear programming · STOC 2017
Mathematical optimization › linear programming
strongly polynomial algorithms
0.312017
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
YearPublicationVenuePosition
2017 A strongly polynomial algorithm for bimodular integer linear programming
abstract
We 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
STOC1