Chris Harrelson

dblp:63/3602 · DBLP profile ↗
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7ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

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

Theory of computation · 6Systems, architecture and hardware · 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
5 papers
Mathematical optimization · 42% Graph algorithms and graph theory · 32% Algorithms and data structures · 14%

Topics — the 11 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization › scheduling › flow time minimization
minimum latency problem
0.122007
The k-traveling repairmen problem · ACM Trans. Algorithms 2007
The k-traveling repairman problem · SODA 2003
Mathematical optimization › combinatorial optimization
routing problems
0.112007
The k-traveling repairmen problem · ACM Trans. Algorithms 2007
Graph algorithms and graph theory
shortest path
0.112005
Computing the shortest path: A search meets graph theory · SODA 2005
Algorithms and data structures
classification
0.012004
Approximate classification via earthmover metrics · SODA 2004
Mathematical optimization › optimal transport
earthmover metrics
0.012004
Approximate classification via earthmover metrics · SODA 2004
Algorithms and data structures
metric embedding
0.012004
Approximate classification via earthmover metrics · SODA 2004
Approximation and online algorithms › approximation algorithms › approximation algorithms for graph problems
0-extension
0.012003
An improved approximation algorithm for the 0-extension problem · SODA 2003
Approximation and online algorithms
approximation algorithms
0.012003
An improved approximation algorithm for the 0-extension problem · SODA 2003
Graph algorithms and graph theory
graph partitioning
0.012003
An improved approximation algorithm for the 0-extension problem · SODA 2003
Graph algorithms and graph theory › graph algorithms
routing
0.012003
The k-traveling repairman problem · SODA 2003
Mathematical optimization
scheduling
0.012003
The k-traveling repairman problem · SODA 2003

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

approximation algorithm · 0.2tree embedding · 0.1a* search · 0.1earth mover distance · 0.0rounding · 0.0linear programming · 0.0
YearPublicationVenuePosition
2010 Fast Routing in Very Large Public Transportation Networks Using Transfer Patterns
Hannah Bast, Erik Carlsson, Arno Eigenwillig, Robert Geisberger, Chris Harrelson, Veselin Raychev, Fabien Viger
ESA (1)5
2007 The k-traveling repairmen problem
abstract
We consider the k -traveling repairmen problem, also known as the minimum latency problem, to multiple repairmen. We give a polynomial-time 8.497α-approximation algorithm for this generalization, where α denotes the best achievable approximation factor for the problem of finding the least-cost rooted tree spanning i vertices of a metric. For the latter problem, a (2 + ε)-approximation is known. Our results can be compared with the best-known approximation algorithm using similar techniques for the case k = 1, which is 3.59α. Moreover, recent work of Chaudry et al. [2003] shows how to remove the factor of α, thus improving all of these results by that factor. We are aware of no previous work on the approximability of the present problem. In addition, we give a simple proof of the 3.59α-approximation result that can be more easily extended to the case of multiple repairmen, and may be of independent interest.
Jittat Fakcharoenphol, Chris Harrelson, Satish Rao
ACM Trans. Algorithms2
2005 Computing the shortest path: A search meets graph theory
Andrew V. Goldberg, Chris Harrelson
SODA2
2004 Approximate classification via earthmover metrics
Aaron Archer, Jittat Fakcharoenphol, Chris Harrelson, Robert Krauthgamer, Kunal Talwar, Éva Tardos
SODA3
2003 The k-traveling repairman problem
Jittat Fakcharoenphol, Chris Harrelson, Satish Rao
SODA2
2003 An improved approximation algorithm for the 0-extension problem
Jittat Fakcharoenphol, Chris Harrelson, Satish Rao, Kunal Talwar
SODA2
2003 A polynomial-time tree decomposition to minimize congestion
abstract
Racke recently gave a remarkable proof showing that any undirected multicommodity ow problem can be routed in an oblivious fashion with congestion that is within a factor of O(log n) of the best o-line solution to the problem. He also presented interesting applications of this result to distributed computing. Maggs, Miller, Parekh, Ravi and Wu have shown that such a decomposition also has an application to speeding up iterative solvers of linear systems.
Chris Harrelson, Kirsten Hildrum, Satish Rao
SPAA1