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» Generic Graph Algorithms for Sparse Matrix Ordering
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JAL
2006
114views more  JAL 2006»
14 years 9 months ago
A wide-range algorithm for minimal triangulation from an arbitrary ordering
We present a new algorithm, called LB-Triang, which computes minimal triangulations. We give both a straightforward O(nm0) time implementation and a more involved O(nm) time imple...
Anne Berry, Jean Paul Bordat, Pinar Heggernes, Gen...
AC
2008
Springer
14 years 9 months ago
Distributed Sparse Matrices for Very High Level Languages
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientific computing. They are a basic building block for various numerical and combinat...
John R. Gilbert, Steve Reinhardt, Viral Shah
ICRA
2005
IEEE
129views Robotics» more  ICRA 2005»
15 years 3 months ago
Exactly Sparse Delayed-State Filters
— This paper presents the novel insight that the SLAM information matrix is exactly sparse in a delayedstate framework. Such a framework is used in view-based representations of ...
Ryan Eustice, Hanumant Singh, John J. Leonard
FCT
2003
Springer
15 years 2 months ago
Graph Searching, Elimination Trees, and a Generalization of Bandwidth
The bandwidth minimization problem has a long history and a number of practical applications. In this paper we introduce a natural extension of bandwidth to partially ordered layo...
Fedor V. Fomin, Pinar Heggernes, Jan Arne Telle
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
15 years 9 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...