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  2. Watts–Strogatz model - Wikipedia

    en.wikipedia.org/wiki/Watts–Strogatz_model

    Watts–Strogatz small-world model generated by igraph and visualized by Cytoscape 2.5. 100 nodes. The Watts–Strogatz model is a random graph generation model that produces graphs with small-world properties, including short average path lengths and high clustering.

  3. Average path length - Wikipedia

    en.wikipedia.org/wiki/Average_path_length

    All these models had one thing in common: they all predicted very short average path length. [1] The average path length depends on the system size but does not change drastically with it. Small world network theory predicts that the average path length changes proportionally to log n, where n is the number of nodes in the network.

  4. Longest path problem - Wikipedia

    en.wikipedia.org/wiki/Longest_path_problem

    In graph theory and theoretical computer science, the longest path problem is the problem of finding a simple path of maximum length in a given graph. A path is called simple if it does not have any repeated vertices ; the length of a path may either be measured by its number of edges, or (in weighted graphs ) by the sum of the weights of its ...

  5. Mean free path - Wikipedia

    en.wikipedia.org/wiki/Mean_free_path

    Note that different definitions of the molecular diameter, as well as different assumptions about the value of atmospheric pressure (100 vs 101.3 kPa) and room temperature (293.17 K vs 296.15 K or even 300 K) can lead to slightly different values of the mean free path.

  6. Trace distance - Wikipedia

    en.wikipedia.org/wiki/Trace_distance

    As for its classical counterpart, the trace distance can be related to the maximum probability of distinguishing between two quantum states: For example, suppose Alice prepares a system in either the state ρ {\displaystyle \rho } or σ {\displaystyle \sigma } , each with probability 1 2 {\displaystyle {\frac {1}{2}}} and sends it to Bob who ...

  7. Random walk - Wikipedia

    en.wikipedia.org/wiki/Random_walk

    Five eight-step random walks from a central point. Some paths appear shorter than eight steps where the route has doubled back on itself. (animated version)In mathematics, a random walk, sometimes known as a drunkard's walk, is a stochastic process that describes a path that consists of a succession of random steps on some mathematical space.

  8. Transition path sampling - Wikipedia

    en.wikipedia.org/wiki/Transition_path_sampling

    Given an initial path, TPS provides some algorithms to perturb that path and create a new one. As in all Monte Carlo walks, the new path will then be accepted or rejected in order to have the correct path probability. The procedure is iterated and the ensemble is gradually sampled. A powerful and efficient algorithm is the so-called shooting ...

  9. List of eponymous laws - Wikipedia

    en.wikipedia.org/wiki/List_of_eponymous_laws

    Kleiber's law: for the vast majority of animals, an animal's metabolic rate scales to the 3⁄4 power of the animal's mass. Named after Max Kleiber. Kluge's law: a sound law that purports to explain the origin of the Proto-Germanic long consonants. Named after Friedrich Kluge. Koomey's law: the energy of computation is halved every year and a half.

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