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ENTCS
2007
121views more  ENTCS 2007»
13 years 4 months ago
Incremental Parametric Development of Greedy Algorithms
The event B method provides a general framework for modelling both data structures and algorithms. B models are validated by discharging proof obligations ensuring safety properti...
Dominique Cansell, Dominique Méry
SODA
2008
ACM
184views Algorithms» more  SODA 2008»
13 years 6 months ago
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
The problem of maximizing a concave function f(x) in a simplex S can be solved approximately by a simple greedy algorithm. For given k, the algorithm can find a point x(k) on a k-...
Kenneth L. Clarkson
RECOMB
2010
Springer
13 years 6 months ago
Subnetwork State Functions Define Dysregulated Subnetworks in Cancer
Abstract. Emerging research demonstrates the potential of proteinprotein interaction (PPI) networks in uncovering the mechanistic bases of cancers, through identification of intera...
Salim A. Chowdhury, Rod K. Nibbe, Mark R. Chance, ...
ICALP
2010
Springer
13 years 6 months ago
On the Limitations of Greedy Mechanism Design for Truthful Combinatorial Auctions
We study the combinatorial auction (CA) problem, in which m objects are sold to rational agents and the goal is to maximize social welfare. Of particular interest is the special ca...
Allan Borodin, Brendan Lucier
APPROX
2000
Springer
153views Algorithms» more  APPROX 2000»
13 years 9 months ago
Randomized path coloring on binary trees
Motivated by the problem of WDM routing in all–optical networks, we study the following NP–hard problem. We are given a directed binary tree T and a set R of directed paths on ...
Vincenzo Auletta, Ioannis Caragiannis, Christos Ka...
COCOON
2007
Springer
13 years 10 months ago
Priority Algorithms for the Subset-Sum Problem
Greedy algorithms are simple, but their relative power is not well understood. The priority framework [5] captures a key notion of “greediness” in the sense that it processes (...
Yuli Ye, Allan Borodin
ICIP
2007
IEEE
13 years 11 months ago
Locally Competitive Algorithms for Sparse Approximation
Practical sparse approximation algorithms (particularly greedy algorithms) suffer two significant drawbacks: they are difficult to implement in hardware, and they are inefficie...
Christopher J. Rozell, Don H. Johnson, Richard G. ...
CEC
2007
IEEE
13 years 11 months ago
Incrementally maximising hypervolume for selection in multi-objective evolutionary algorithms
— Several multi-objective evolutionary algorithms compare the hypervolumes of different sets of points during their operation, usually for selection or archiving purposes. The ba...
Lucas Bradstreet, R. Lyndon While, Luigi Barone
ICSE
2005
IEEE-ACM
14 years 4 months ago
A framework of greedy methods for constructing interaction test suites
Greedy algorithms for the construction of software interaction test suites are studied. A framework is developed to evaluate a large class of greedy methods that build suites one ...
Charles J. Colbourn, Myra B. Cohen, Renée C...
SIGMOD
2005
ACM
212views Database» more  SIGMOD 2005»
14 years 4 months ago
A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification
Data integrated from multiple sources may contain inconsistencies that violate integrity constraints. The constraint repair problem attempts to find "low cost" changes t...
Philip Bohannon, Michael Flaster, Wenfei Fan, Raje...