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  2. Flow net - Wikipedia

    en.wikipedia.org/wiki/Flow_net

    A flow net is a graphical representation of ... The flow net is an important tool in analysing two-dimensional irrotational flow problems. Flow net technique is a ...

  3. Flow network - Wikipedia

    en.wikipedia.org/wiki/Flow_network

    A feasible flow, or just a flow, is a pseudo-flow that, for all v ∈ V \{s, t}, satisfies the additional constraint: Flow conservation constraint: The total net flow entering a node v is zero for all nodes in the network except the source and the sink , that is: x f (v) = 0 for all v ∈ V \{s, t}.

  4. Ford–Fulkerson algorithm - Wikipedia

    en.wikipedia.org/wiki/Ford–Fulkerson_algorithm

    The Ford–Fulkerson method or Ford–Fulkerson algorithm (FFA) is a greedy algorithm that computes the maximum flow in a flow network.It is sometimes called a "method" instead of an "algorithm" as the approach to finding augmenting paths in a residual graph is not fully specified [1] or it is specified in several implementations with different running times. [2]

  5. Maximum flow problem - Wikipedia

    en.wikipedia.org/wiki/Maximum_flow_problem

    The maximum flow problem can be seen as a special case of more complex network flow problems, such as the circulation problem. The maximum value of an s-t flow (i.e., flow from source s to sink t) is equal to the minimum capacity of an s-t cut (i.e., cut severing s from t) in the network, as stated in the max-flow min-cut theorem.

  6. Streamlines, streaklines, and pathlines - Wikipedia

    en.wikipedia.org/wiki/Streamlines,_streaklines...

    In the aircraft example, the observer on the ground will observe unsteady flow, and the observers in the aircraft will observe steady flow, with constant streamlines. When possible, fluid dynamicists try to find a reference frame in which the flow is steady, so that they can use experimental methods of creating streaklines to identify the ...

  7. Pipe network analysis - Wikipedia

    en.wikipedia.org/wiki/Pipe_network_analysis

    In this formulation, first you go through and create guess values for the flows in the network. The flows are expressed via the volumetric flow rates Q. The initial guesses for the Q values must satisfy the Kirchhoff laws (1). That is, if Q7 enters a junction and Q6 and Q4 leave the same junction, then the initial guess must satisfy Q7 = Q6 + Q4.

  8. Line integral convolution - Wikipedia

    en.wikipedia.org/wiki/Line_integral_convolution

    This technique has been applied to a wide range of problems since it first was published in 1993, both scientific and creative, including: Representing vector fields: visualization of steady (time-independent) flows (streamlines) [14] visual exploration of 2D autonomous dynamical systems [15] wind mapping [16] water flow mapping

  9. Flow visualization - Wikipedia

    en.wikipedia.org/wiki/Flow_visualization

    More directly, dyes can be added to (usually liquid) flows to measure concentrations; typically employing the light attenuation or laser-induced fluorescence techniques. In scientific visualization flows are visualized with two main methods: Analytical methods that analyse a given flow and show properties like streamlines, streaklines, and ...