Results 231 to 240 of about 914,936 (268)
Impact of extreme weather events on the US domestic supply chain of food manufacturing. [PDF]
Yim H, Dall'erba S.
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Pedestrian flux analysis in a confined university campus network using entropy and accessibility robustness metrics. [PDF]
Cerioli A +4 more
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XAPT: Explainable Anomaly-Driven Prediction of Threat Stages in APT Campaigns. [PDF]
Lu W +6 more
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Temporally consistent tri ledger settlement enables robust and noncontestable coordination in interprovincial power systems. [PDF]
Ma X, Lv S, Hu W, Huang C, Tan Z.
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Networks, 2006
AbstractIn this article, motivated by applications of ordinary (distance) spanners in communication networks and to address such issues as bandwidth constraints on network links, link failures, network survivability, etc., we introduce a new notion of flow spanner, where one seeks a spanning subgraph H = (V, E') of a graph G = (V, E) which provides a ...
Dragan, Feodor F., Yan, Chenyu
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AbstractIn this article, motivated by applications of ordinary (distance) spanners in communication networks and to address such issues as bandwidth constraints on network links, link failures, network survivability, etc., we introduce a new notion of flow spanner, where one seeks a spanning subgraph H = (V, E') of a graph G = (V, E) which provides a ...
Dragan, Feodor F., Yan, Chenyu
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IEEE Control Systems Letters, 2017
We consider flow-inducing networks, a class of models that are well-suited to describe important biochemical systems, including the MAPK pathway and the interactions at the trans-Golgi network. A flow-inducing network is given by the interconnection of subsystems (modules), each associated with a stochastic state matrix whose entries depend on the ...
Giordano G., Blanchini F.
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We consider flow-inducing networks, a class of models that are well-suited to describe important biochemical systems, including the MAPK pathway and the interactions at the trans-Golgi network. A flow-inducing network is given by the interconnection of subsystems (modules), each associated with a stochastic state matrix whose entries depend on the ...
Giordano G., Blanchini F.
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Operations Research, 1972
This paper considers a directed capacitated network in which the supply at each source node and the demand at each sink node is a linear function of a parameter t. It presents two algorithms that determine the range of values for the parameter t; they correspond to the primal and dual linear-programming algorithms that solve this problem.
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This paper considers a directed capacitated network in which the supply at each source node and the demand at each sink node is a linear function of a parameter t. It presents two algorithms that determine the range of values for the parameter t; they correspond to the primal and dual linear-programming algorithms that solve this problem.
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2013
Identifying ‘networked flow’ as the key driver of networked creativity, this new volume in the Springer Briefs series deploys concepts from a range of sub-disciplines in psychology to suggest ways of optimizing the innovative potential of creative networks.
Gaggioli, Andrea +3 more
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Identifying ‘networked flow’ as the key driver of networked creativity, this new volume in the Springer Briefs series deploys concepts from a range of sub-disciplines in psychology to suggest ways of optimizing the innovative potential of creative networks.
Gaggioli, Andrea +3 more
openaire +3 more sources

