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  2. Talk:Random walk - Wikipedia

    en.wikipedia.org/wiki/Talk:Random_walk

    For a mere (uncorrelated) random walk, if the steps are constant and equal to 1 unit then for the distance from the starting point (net displacement): - the rms is equal to sqrt(n) in both 1 and 2 dimensions (the expected net squared displacement is equal to n) - the average distance asymptotes to sqrt(2n/pi) in 1 dimension but to sqrt(pi*n/4 ...

  3. Far Lands or Bust - Wikipedia

    en.wikipedia.org/wiki/Far_Lands_or_Bust

    Far Lands or Bust (abbreviated FLoB) is an online video series created by Kurt J. Mac in which he plays the video game Minecraft.The series depicts his journey to the "Far Lands", a distant area of a Minecraft world in which the terrain generation does not function correctly, creating a warped landscape.

  4. 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.

  5. Random walk closeness centrality - Wikipedia

    en.wikipedia.org/wiki/Random_walk_closeness...

    Random walk closeness centrality is a measure of centrality in a network, which describes the average speed with which randomly walking processes reach a node from other nodes of the network. It is similar to the closeness centrality except that the farness is measured by the expected length of a random walk rather than by the shortest path .

  6. Maze generation algorithm - Wikipedia

    en.wikipedia.org/wiki/Maze_generation_algorithm

    Maze generation animation using Wilson's algorithm (gray represents an ongoing random walk). Once built the maze is solved using depth first search. All the above algorithms have biases of various sorts: depth-first search is biased toward long corridors, while Kruskal's/Prim's algorithms are biased toward many short dead ends.

  7. Maximal entropy random walk - Wikipedia

    en.wikipedia.org/wiki/Maximal_Entropy_Random_Walk

    Maximal entropy random walk (MERW) is a popular type of biased random walk on a graph, in which transition probabilities are chosen accordingly to the principle of maximum entropy, which says that the probability distribution which best represents the current state of knowledge is the one with largest entropy.

  8. Biased random walk on a graph - Wikipedia

    en.wikipedia.org/wiki/Biased_random_walk_on_a_graph

    In case of a fair random walk on graph is one for all the nodes. In case of shortest paths random walks [ 4 ] α i {\displaystyle \alpha _{i}} is the total number of the shortest paths between all pairs of nodes that pass through the node i {\displaystyle i} .

  9. Expander walk sampling - Wikipedia

    en.wikipedia.org/wiki/Expander_walk_sampling

    Sampling from an expander walk is an example of a randomness-efficient sampler. Note that the number of bits used in sampling k {\displaystyle k} independent samples from f {\displaystyle f} is k log ⁡ n {\displaystyle k\log n} , whereas if we sample from an infinite family of constant-degree expanders this costs only log ⁡ n + O ( k ...

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