'Flow network' diaporamas de présentation

Maximum flow problems

Maximum flow problems. Maximum flow problems. Introduction of: network, max-flow problem capacity, flow Ford-Fulkerson method pseudo code, residual networks, augmenting paths cuts of networks max-flow min-cut theorem example of an execution analysis, running time,

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Chapter 5

Chapter 5. Flow and Orthogonal Drawings. Nimrod Milo and Ilan Orlov. Final Example:. Goal:. Efficiently drawing of orthogonal graphs. Quality of a draw:. Minimal number of bends. 9 bends. 6 bends. Bend angle. Vertex angle. Every edge considered as two directed edges !!!.

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Flow Networks

Flow Networks. zichun@comp.nus.edu.sg. Formalization. Basic Results. Min-cut. Ford-Fulkerson. Edmunds-Karp. Bipartite Matching. Flow Network. Directed Graph G = (V, E) Each edge has a capacity. Properties of Flow. Capacity Constraint Skew Symmetry Flow Conservation. Maximum Flow.

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Networks in GIS

Networks in GIS. Network model Flow on Networks Hydrologic networks Linear referencing on networks. Some slides in this presentation were prepared by Dr Francisco Olivera. Network Definition. A network is a set of edges and junctions that are topologically connected to each other.

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Maximum Flows

Maximum Flows. Corman book. Max Flow Network. Max flow network: G = (V, E, s, t, u) . (V, E) = directed graph, no parallel arcs. Two distinguished nodes: s = source, t = sink. c (e) = capacity of arc e. 2. 5. 9. 10. 15. 15. 10. 4. 5. s. 3. 6. t. 8. 10. 15. 4. 6. 10.

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Production Reporting (draft specifications)

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Theory of Computing

Theory of Computing. Lecture 12 MAS 714 Hartmut Klauck. Network Flows. A flow network is a directed graph G =(V,E ) with nonegative edge weights C(u,v ), called capacities nonedges have capacity 0 There is a source s and a sink t

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Production Reporting (draft specifications)

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Production Reporting (draft specifications)

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An Efficient Clustering-based Heuristic for Data Gathering and Aggregation in Sensor Networks

An Efficient Clustering-based Heuristic for Data Gathering and Aggregation in Sensor Networks. Wireless Communications and Networking (WCNC 2003). IEEE , Volume: 3 , 16-20 March 2003. Koustuv Dasgupta, Konstantinos Kalpakis, Parag Namjoshi. Outline. System Model The Data Gathering Problem

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CMSC 341 Lecture 24 Max Flow

CMSC 341 Lecture 24 Max Flow. Prof. Neary. Based on slides by Prof. Jeremy Dixon. Flow Network. In graph theory, a flow network (also known as a transportation network) is a directed graph where each edge has a capacity and each edge receives a flow

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Maximum Flow Algorithms

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Flow Networks

Flow Networks. Flow Networks. Directed Graph with edge capacities Capacities represent flow of materials Examples Water that can flow through a pipe Traffic that can flow between two intersections Electricity flowing through a wire Data transmitted over network connection. Maximum Flow.

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Survey Design

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