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Luvsandondov Lkhamsuren

dblp:218/5152 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1

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
Graph algorithms and graph theory · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory › graph algorithms › network flow
minimum-cost flow
0.312018
Holiest minimum-cost paths and flows in surface graphs · STOC 2018
Graph algorithms and graph theory
shortest path
0.312018
Holiest minimum-cost paths and flows in surface graphs · STOC 2018
Graph algorithms and graph theory › topological graph theory
surface-embedded graphs
0.312018
Holiest minimum-cost paths and flows in surface graphs · STOC 2018
Graph algorithms and graph theory
planar graphs
0.112018
Holiest minimum-cost paths and flows in surface graphs · STOC 2018

Methods — techniques the papers use, named apart from their topics

lexicographic perturbation · 0.3
YearPublicationVenuePosition
2018 Holiest minimum-cost paths and flows in surface graphs
abstract
Let G be an edge-weighted directed graph with n vertices embedded on an orientable surface of genus g. We describe a simple deterministic lexicographic perturbation scheme that guarantees uniqueness of minimum-cost flows and shortest paths in G. The perturbations take O(gn) time to compute. We use our perturbation scheme in a black box manner to derive a deterministic O(n loglogn) time algorithm for minimum cut in directed edge-weighted planar graphs and a deterministic O(g2 n logn) time proprocessing scheme for the multiple-source shortest paths problem of computing a shortest path oracle for all vertices lying on a common face of a surface embedded graph. The latter result yields faster deterministic near-linear time algorithms for a variety of problems in constant genus surface embedded graphs.
Jeff Erickson 0001, Kyle Fox, Luvsandondov Lkhamsuren
STOC3