
量子漫步及其应用:一个系统综述 - 知乎
连续时间随机游走 (CTRW):如果用于测量每个位置的概率的时间是连续函数,即以波的形式,则它是连续时间随机游走,例如布朗运动。 在CTRW中,一个过程取值X在't'时间步的概率 …
Continuous-time random walk - Wikipedia
In mathematics, a continuous-time random walk (CTRW) is a generalization of a random walk where the wandering particle waits for a random time between jumps. It is a stochastic jump …
连续时间随机游走(Continuous-time random walk, CTRW) …
2022年9月21日 · CTRW 由 Montroll 和 Weiss 引入,作为物理扩散过程的推广,以有效描述 异常 扩散(anomalous diffusion),即超扩散和亚扩散情况(super- and sub-diffusive cases)。 …
In this paper we study the behavior of a continuous time ran-dom walk (CTRW) on a stationary and ergodic time varying dynamic graph. We establish conditions under which the CTRW is a …
To address random waiting times in the context of continuous time random walks (CTRWs), we will begin with a brief overview of Laplace transforms and renewal theory, including an …
In this paper we study the behavior of a continuous time random walk (CTRW) on a stationary and ergodic time varying dynamic graph. We establish conditions under which the CTRW is a …
Characterizing continuous time random walks on time varying graphs
2012年6月11日 · In this paper we study the behavior of a continuous time random walk (CTRW) on a stationary and ergodic time varying dynamic graph. We establish conditions under which …
Continuous-Time Random Walk - an overview - ScienceDirect
Continuous-time random walk is an extension of the random walk. More specifically, it is constructed by introducing a new source of randomness to the random walk. This new source …
GitHub - DanielZlm/ctrw: This is a python implementation of the ...
Run example_ctrw.py without any arguments to create a two dimensional CTRW and plot it versus time. Note: You have to have matplotlib installed to run the example. import ctrw import …
Characterizing Continuous Time Random Walks on Time Varying Graphs
2011年12月25日 · In this paper we study the behavior of a continuous time random walk (CTRW) on a stationary and ergodic time varying dynamic graph. We establish conditions under which …
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