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  • Search: subject:"Intersection graphs"
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Year of publication
Subject
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Intersection graphs 2 Makespan 2 Multiprocessor task scheduling 2 Polynomial algorithms 2 Random intersection graphs 1 clustering 1 degree distribution 1 power law distri- bution 1 social networks 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
Language
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Undetermined 3
Author
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Gentili, Monica 2 Paolo Dell’Olmo 2 Deijfen, M. 1 Kets, W. 1
Institution
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Tilburg University, Center for Economic Research 1
Published in...
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Computational Statistics 1 Discussion Paper / Tilburg University, Center for Economic Research 1 Mathematical Methods of Operations Research 1
Source
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RePEc 3
Showing 1 - 3 of 3
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Random Intersection Graphs with Tunable Degree Distribution and Clustering
Deijfen, M.; Kets, W. - Tilburg University, Center for Economic Research - 2007
A random intersection graph is constructed by independently assigning each vertex a subset of a given set and drawing an edge between two vertices if and only if their respective subsets intersect. In this paper a model is developed in which each vertex is given a random weight, and vertices...
Persistent link: https://www.econbiz.de/10011091616
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Graph models for scheduling systems with machine saturation property
Paolo Dell’Olmo; Gentili, Monica - In: Mathematical Methods of Operations Research 63 (2006) 2, pp. 329-340
Let <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$T \, =\, \{T_1, T_2, \ldots, T_n\}$$</EquationSource> </InlineEquation> be a set of n independent tasks and <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$\mathcal{P}=\{P_1, P_2,\ldots, P_m\}$$</EquationSource> </InlineEquation> a set of m processors. During each time instant, each processor can be used by a single task at most. A schedule is for each task an allocation of one or more time...</equationsource></inlineequation></equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10010999898
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Graph models for scheduling systems with machine saturation property
Paolo Dell’Olmo; Gentili, Monica - In: Computational Statistics 63 (2006) 2, pp. 329-340
Let $$T \, =\, \{T_1, T_2, \ldots, T_n\}$$ be a set of n independent tasks and $$\mathcal{P}=\{P_1, P_2,\ldots, P_m\}$$ a set of m processors. During each time instant, each processor can be used by a single task at most. A schedule is for each task an allocation of one or more time intervals to...
Persistent link: https://www.econbiz.de/10010759486
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