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  2. Torricelli's law - Wikipedia

    en.wikipedia.org/wiki/Torricelli's_law

    Torricelli's law, also known as Torricelli's theorem, is a theorem in fluid dynamics relating the speed of fluid flowing from an orifice to the height of fluid above the opening. The law states that the speed of efflux of a fluid through a sharp-edged hole in the wall of the tank filled to a height above the hole is the same as the speed that a ...

  3. Clique (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Clique_(graph_theory)

    In the mathematical area of graph theory, a clique (/ ˈkliːk / or / ˈklɪk /) is a subset of vertices of an undirected graph such that every two distinct vertices in the clique are adjacent. That is, a clique of a graph is an induced subgraph of that is complete. Cliques are one of the basic concepts of graph theory and are used in many ...

  4. Havel–Hakimi algorithm - Wikipedia

    en.wikipedia.org/wiki/Havel–Hakimi_algorithm

    A simple graph contains no double edges or loops. [1] The degree sequence is a list of numbers in nonincreasing order indicating the number of edges incident to each vertex in the graph. [2] If a simple graph exists for exactly the given degree sequence, the list of integers is called graphic. The Havel-Hakimi algorithm constructs a special ...

  5. Clustering coefficient - Wikipedia

    en.wikipedia.org/wiki/Clustering_coefficient

    In graph theory, a clustering coefficient is a measure of the degree to which nodes in a graph tend to cluster together. Evidence suggests that in most real-world networks, and in particular social networks, nodes tend to create tightly knit groups characterised by a relatively high density of ties; this likelihood tends to be greater than the average probability of a tie randomly established ...

  6. Graph theory - Wikipedia

    en.wikipedia.org/wiki/Graph_theory

    Graph. [] A graph with three vertices and three edges. In one restricted but very common sense of the term, [ 1 ][ 2 ] a graph is an ordered pair comprising: V {\displaystyle V} , a set of vertices (also called nodes or points); E ⊆ {{x, y} ∣ x, y ∈ V and x ≠ y} {\displaystyle E\subseteq \ {\ {x,y\}\mid x,y\in V\; {\textrm {and}}\;x\neq ...

  7. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    In probability theory, the Fourier transform of the probability distribution of a real-valued random variable is closely connected to the characteristic function of that variable, which is defined as the expected value of , as a function of the real variable (the frequency parameter of the Fourier transform).

  8. Gumbel distribution - Wikipedia

    en.wikipedia.org/wiki/Gumbel_distribution

    Gumbel distribution. In probability theory and statistics, the Gumbel distribution (also known as the type-I generalized extreme value distribution) is used to model the distribution of the maximum (or the minimum) of a number of samples of various distributions. This distribution might be used to represent the distribution of the maximum level ...

  9. Betweenness centrality - Wikipedia

    en.wikipedia.org/wiki/Betweenness_centrality

    Betweenness centrality. An undirected graph colored based on the betweenness centrality of each vertex from least (red) to greatest (blue). In graph theory, betweenness centrality is a measure of centrality in a graph based on shortest paths. For every pair of vertices in a connected graph, there exists at least one shortest path between the ...