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  2. Principle of maximum caliber - Wikipedia

    en.wikipedia.org/wiki/Principle_of_maximum_caliber

    The principle of maximum caliber (MaxCal) or maximum path entropy principle, suggested by E. T. Jaynes, [1] can be considered as a generalization of the principle of maximum entropy. It postulates that the most unbiased probability distribution of paths is the one that maximizes their Shannon entropy. This entropy of paths is sometimes called ...

  3. Maximal entropy random walk - Wikipedia

    en.wikipedia.org/wiki/Maximal_Entropy_Random_Walk

    To practically use such long sequences, after 1 we have to use 0, but there remains a freedom of choosing the probability of 0 after 0. Let us denote this probability by , then entropy coding would allow encoding a message using this chosen probability distribution. The stationary probability distribution of symbols for a given turns out to be

  4. Bell diagonal state - Wikipedia

    en.wikipedia.org/wiki/Bell_diagonal_state

    where ,,, is a probability distribution. Since p 1 + p 2 + p 3 + p 4 = 1 {\displaystyle p_{1}+p_{2}+p_{3}+p_{4}=1} , a Bell diagonal state is determined by three real parameters. The maximum probability of a Bell diagonal state is defined as p m a x = max { p 1 , p 2 , p 3 , p 4 } {\displaystyle p_{max}=\max\{p_{1},p_{2},p_{3},p_{4}\}} .

  5. Transition path sampling - Wikipedia

    en.wikipedia.org/wiki/Transition_path_sampling

    Molecular dynamics generates a path as a set of (r t, p t) at discrete times t in [0,T] where T is the length of the path. For a transition from A to B, (r 0, p 0) is in A, and (r T, p T) is in B. One of the path times is chosen at random, the momenta p are modified slightly into p + δp, where δp is a random perturbation consistent with ...

  6. Reflected Brownian motion - Wikipedia

    en.wikipedia.org/wiki/Reflected_Brownian_motion

    The stationary distribution of a reflected Brownian motion in multiple dimensions is tractable analytically when there is a product form stationary distribution, [10] which occurs when the process is stable and [11] = + ′ where D = diag(Σ). In this case the probability density function is [8]

  7. No. 2 Iowa St gets win over No. 9 Kansas - AOL

    www.aol.com/no-2-iowa-st-gets-033816158.html

    Houston (13-3, 5-0 Big 12) shot 49% overall and was 11 of 26 on 3-pointers in winning its 32nd straight home game. Amani Hansberry scored 16 points and Javon Small added 13 points and eight ...

  8. The Most Common Reasons People See the Doctor for Scalp Pain

    www.aol.com/most-common-reasons-people-see...

    22 10-minute breakfast recipes you'll want to make forever. Food. Eating Well. 17 new anti-inflammatory dinners to make this week. News. News. USA TODAY.

  9. 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.