并查集 ( Disjoint-Set or Union-Find data structure ) 什么是并查集 1.将n个不重复的元素( distinct elements ), 分配到几个不相交集合( disjoint sets )的应用。 换句话说,一个不相交的集合(disjoint sets)是一组集合,其中任何项都不能出现在一个以上的集合中。 ( A disjoint set is a group of sets ...
有一个联合-查找算法(Union-find Algorithm)定义了两个用于此数据结构的操作: Find:确定元素属于哪一个子集。它可以被用来确定两个元素是否属于同一子集。 Union:将两个子集合并成同一个集合。 由于支持这两种操作,一个不相交集也常被称为联合-查找数据结构(Union-find Data Structure)或合并-查找集合(Merge-find...
Union-FindThe union-find data structure is motivated by Kruskal's minimum spanning tree algorithm (Algorithm 2.6), in which we needed two operations on disjoint sets of verticesdoi:10.1007/978-1-4612-4400-4_10Dexter C. KozenSpringer New York...
A basic union-find data structure for node.js. For more information, see wikipdia: Disjoint Set Datastructures Union find data structures solve the incremental connectivity problem. (That is maintaining a spanning forest under incremental insertions of edges.) To handle fully dynamic connectivity, you...
因为它支持这两种操作,一个不相交集也常被称为联合-查找数据结构(union-find data structure)或合并-查找集合(merge-find set)。 为了更加精确的定义这些方法,需要定义如何表示集合。一种常用的策略是为每个集合选定一个固定的元素,称为代表,以表示整个集合。接着。Find(x)返回x所属集合的代表,而Union使用两个集...
The efficiency of an algorithm sometimes depends on using an efficient data structure. A good choice of data structure can reduce the execution time of an algorithm and Union-Find is … HackerEarth is a global hub of 5M+ developers. We help companies ac
This data structure is used to solve "Dynamic Connectivity" problem. 1. Applications ・Pixels in a digital photo. ・Computers in a network. ・Friends in a social network. ・Transistors in a computer chip. ・Elements in a mathematical set. ...
Union Find Union Find is a data structure to find whether two elements in the same group (Find) merge two groups of elements (Union) Here is an example story to help you understand Union Find. A, B, C three people work for M company. We assign them each a parent pointer to M....
Lock-free parallel disjoint set data structure (aka UNION-FIND) with path compression and union by rank - wjakob/dset
publicclassUF {privateint[] parent;//parent[i] = parent of iprivatebyte[] rank;//rank[i] = rank of subtree rooted at i (never more than 31)privateintcount;//number of components/*** Initializes an empty union-find data structure with ...