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  2. Maximum flow problem - Wikipedia

    en.wikipedia.org/wiki/Maximum_flow_problem

    Definition. The value of flow is the amount of flow passing from the source to the sink. Formally for a flow it is given by: Definition. The maximum flow problem is to route as much flow as possible from the source to the sink, in other words find the flow with maximum value.

  3. Compartmental models in epidemiology - Wikipedia

    en.wikipedia.org/wiki/Compartmental_models_in...

    Compartmental models are a very general modelling technique. They are often applied to the mathematical modelling of infectious diseases. The population is assigned to compartments with labels – for example, S, I, or R, (S usceptible, I nfectious, or R ecovered). People may progress between compartments. The order of the labels usually shows ...

  4. Dinic's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dinic's_algorithm

    Dinic's algorithm or Dinitz's algorithm is a strongly polynomial algorithm for computing the maximum flow in a flow network, conceived in 1970 by Israeli (formerly Soviet) computer scientist Yefim Dinitz. [1] The algorithm runs in time and is similar to the Edmonds–Karp algorithm, which runs in time, in that it uses shortest augmenting paths.

  5. Blocking (statistics) - Wikipedia

    en.wikipedia.org/wiki/Blocking_(statistics)

    Without blocking: diet pills vs placebo on weight loss. In our previous diet pills example, a blocking factor could be the sex of a patient. We could put individuals into one of two blocks (male or female). And within each of the two blocks, we can randomly assign the patients to either the diet pill (treatment) or placebo pill (control).

  6. Seven basic tools of quality - Wikipedia

    en.wikipedia.org/wiki/Seven_Basic_Tools_of_Quality

    Histogram. Pareto chart. Scatter diagram. Flow chart. Run chart. The seven basic tools of quality are a fixed set of visual exercises identified as being most helpful in troubleshooting issues related to quality. [1] They are called basic because they are suitable for people with little formal training in statistics and because they can be used ...

  7. Schwinger–Dyson equation - Wikipedia

    en.wikipedia.org/wiki/Schwinger–Dyson_equation

    The Schwinger–Dyson equations (SDEs) or Dyson–Schwinger equations, named after Julian Schwinger and Freeman Dyson, are general relations between correlation functions in quantum field theories (QFTs). They are also referred to as the Euler–Lagrange equations of quantum field theories, since they are the equations of motion corresponding ...

  8. Dyson Brownian motion - Wikipedia

    en.wikipedia.org/wiki/Dyson_Brownian_motion

    Dyson Brownian motion. In mathematics, the Dyson Brownian motion is a real-valued continuous-time stochastic process named for Freeman Dyson. [1] Dyson studied this process in the context of random matrix theory. There are several equivalent definitions: [2][3]

  9. Structured analysis and design technique - Wikipedia

    en.wikipedia.org/wiki/Structured_Analysis_and...

    SADT basis element. Structured analysis and design technique (SADT) is a systems engineering and software engineering methodology for describing systems as a hierarchy of functions. SADT is a structured analysis modelling language, which uses two types of diagrams: activity models and data models. It was developed in the late 1960s by Douglas T ...