WebAug 27, 2024 · The executable Perc.py works in such a way that: A random matrix R of ones and zeros is created which is treated with an algorithm almost identical to that of Hoshen … WebOct 17, 2014 · We obtain data on the domain sizes in the emulsions by using both structure functions and the Hoshen-Kopelman (HK) algorithm, and we demonstrate that both methods have their own (dis)advantages. We confirm an inverse dependence between the concentration of particles and the average radius of the stabilized droplets.
Python implementation in percolation analysis of …
The Hoshen–Kopelman algorithm is a simple and efficient algorithm for labeling clusters on a grid, where the grid is a regular network of cells, with the cells being either occupied or unoccupied. This algorithm is based on a well-known union-finding algorithm. The algorithm was originally described … See more Percolation theory is the study of the behavior and statistics of clusters on lattices. Suppose we have a large square lattice where each cell can be occupied with the probability p and can be empty with the probability 1 – p. … See more In this algorithm, we scan through a grid looking for occupied cells and labeling them with cluster labels. The scanning process is called a raster scan. The algorithm begins … See more During the raster scan of the grid, whenever an occupied cell is encountered, neighboring cells are scanned to check whether any of … See more • Determination of Nodal Domain Area and Nodal Line Lengths • Nodal Connectivity Information • Modeling of electrical conduction See more This algorithm is a simple method for computing equivalence classes. Calling the function union(x,y) returns whether items x and y are members of the same equivalence class. Because equivalence relations are transitive, all the items equivalent to x are … See more Consider the following example. The dark cells in the grid in figure (a) represent that they are occupied and the white ones are empty. So by running H–K algorithm on this input we would … See more • K-means clustering algorithm • Fuzzy clustering algorithm • Gaussian (Expectation Maximization) clustering algorithm See more WebThe Hoshen–Kopelman algorithm is a simple and efficient algorithm for labeling clusters on a grid, where the grid is a regular network of cells, with the cells being either occupied or unoccupied. This algorithm is based on a well-known union-finding algorithm. [1] aditya birla capital distributor login
Parallelised Hoshen–Kopelman algorithm for lattice …
WebABSTRACT Herein, an extended Hoshen-Kopelman algorithm to non-lattice environments has been used to create a algorithm suitable for cluster detecting/labelling in molecular simulations. This algorithm is useful to study many systems of particles which undergo aggregating phenomena, such as clustering or gelation. Web在 计算机科学 中， 并查集 （英文：Disjoint-set data structure，直译为不交集数据结构）是一种 数据结构 ，用于处理一些 不交集 （Disjoint sets，一系列没有重复元素的集合）的合并及查询问题。 并查集支持如下操作： 查询：查询某个元素属于哪个集合，通常是返回集合内的一个“代表元素”。 这个操作是为了判断两个元素是否在同一个集合之中。 合并：将两 … jrって新幹線