Search results

...nnbsp}}<ref>{{cite journal |title=An Out-of-Kilter Method for Minimal-Cost Flow Problems |author=D. R. Fulkerson |journal=[[Journal of the Society for Indu ...an be used to minimize the total cost of a constrained flow in an oriented network. ...

...last3=Sherali | first3=Hanif D. | year=2010 | title=Linear Programming and Network Flows | edition=4th | publisher=Wiley | page=453}}</ref> ...7}}</ref> Strongly polynomial dual network simplex algorithms for the same problem, but with a higher dependence on the numbers of edges and vertices in the g ...

...on]] of such a network will also produce a solution to the minimum s–t cut problem. This article gives basic definitions, a statement of the theorem and a pr ...ussion of the [[Max-flow_min-cut_theorem#Definitions and statement|maximum-flow minimum-cut theorem]]. ...

{{Short description|Algorithm for computing the maximal flow of a network}} ...hs. The introduction of the concepts of the ''level graph'' and ''blocking flow'' enable Dinic's algorithm to achieve its performance. ...

{{short description|Mathematical propositions in network flow theory}} ...nds on how close the maximum flow can get to the minimum cut, with the max-flow always being lower or equal to the min-cut. ...

...ower <math>|Q|</math> in a system while performing [[Power flow study|load flow studies]]. The slack bus is used to provide for system losses by emitting o == Load flow studies == ...

{{Short description|Method for determining flow in pipe network systems}} [[File:HardyCrossMethodNetwork.png|thumb|An example pipe flow network]] ...

...1974.<ref>{{citation|first=J. W.|last=Suurballe|title=Disjoint paths in a network|journal=Networks|volume=4|number=2|pages=125–145|year=1974|doi=10.1002/net. ...cost flow algorithm that repeatedly pushes the maximum possible amount of flow along a shortest augmenting path. ...

...ription|Architectural motif in neural networks for controlling information flow}} ...n|gradient signals]]. They are most prominently used in [[recurrent neural network]]s (RNNs), but have also found applications in other architectures. ...

...YMBOLIC_NETWORK_ANALYSIS presentation: Linear Electrical Circuits:Symbolic Network Analysis], 1977</ref> The above relationship is often called the network function. For physical systems, <math>N(s,\mathbf{x})</math> and <math>D(s, ...

...= {{hlist|[[Computational biology]]|Graph partitioning|[[Maximum flow problem]]}} ...raph partitioning]], and single- and multi-commodity flows ([[maximum flow problem]]).<ref>{{Cite web|title=Satish Rao|url=https://awards.acm.org/award_winner ...

{{short description|Type of artificial neural network}} ...ural network]] with hundreds of layers, much deeper than previous [[Neural network (machine learning)|neural networks]].<ref name="highway2015" /><ref name="h ...

The '''p-Cycle protection''' scheme is a technique to protect a [[mesh network]] from a failure of a link, with the benefits of ring like recovery speed a ...sh like capacity efficiency.<ref name="networks with p-cycle" /> In a mesh network, the spare capacity is used to create the ring like structures as shown in ...

{{Short description|Structural analysis of a network}} {{Network Science}} ...

...the orders used to choose between alternatives. In a typical social choice problem, society has to choose among several alternatives (for example: several way === In flow networks === ...

...e constructed in {{math|{{abs|''V''}} − 1}} [[Maximum flow problem|maximum flow]] computations. It is named for [[Ralph E. Gomory]] and [[T. C. Hu]]. | title = Very Simple Methods for All Pairs Network Flow Analysis ...

...rom written text (text-to-speech) or spectrum ([[vocoder]]). Deep [[Neural network (machine learning)|neural networks]] are trained using large amounts of rec ...style transfer capabilities.<ref>{{cite arXiv|title=Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search|last=Kim|first=Jaehyeon|e ...

{{Short description|Queue management algorithm for computer network packets}} ..., such as [[router (computing)|router]]s, by setting limits on the delay [[network packet]]s experience as they pass through [[buffer (telecommunication)|buff ...

...ighted graph]]s (which are also known as undirected networks or [[weighted network]]s).<ref name="Chartrand"/> ** '''[[Flow network]]s''' are weighted directed graphs where two nodes are distinguished, a ''s ...

...exity for computing exactly the strength is due to Trubin (1993), uses the flow decomposition of Goldberg and Rao (1998), in time <math>O(\min(\sqrt{m},n^ * Contrary to the [[graph partition]] problem, the partitions output by computing the strength are not necessarily balanc ...