mib tree structure

*/public BinaryTreeNode getParent(BinaryTreeNode subTree, BinaryTreeNode node) { if (subTree == null) { //如果子树为空，则没有父亲节点，递归出口 1 return null; } //正好这个根节点的左右孩子之一与目标节点一致 if (subTree.getLeftChild() == node || subTree.getRightChild() == node) { //递归出口 2 return subTree; } //需要遍历这个节点的左右子树 BinaryTreeNode parent; if ((parent = getParent(subTree.getLeftChild(), node)) != null) { //左子树节点就是指定节点，返回 return parent; } else { return getParent(subTr

Two methods for implementing the tree structure: 1. Recursion Recursion refers to explicitly calling itself in a function. Recursive tree structure is characterized by fast data writing speed and slow display speed (especially when there are many branches/layers of the tree

Two methods for implementing tree structure 1. RecursionRecursion refers to explicitly calling itself in a function.Recursive tree structure is characterized by fast data writing speed and slow display speed (especially when there are many branches/layers of the tree ). Ap

Hierarchy Relationship Structure: Tree Tree concept: A tree is a collection of n nodes A node is called the root node, a is the parent node of B C D, and vice versa, and B C D is the respective sibling node respectively. Degree of node: the number of sub-trees of a node is called the degree of that node Degree of the

34. Toad's data structure note 34 Tree conceptThis famous article:"The past belongs to death, the future belongs to you." - - Shelley "This note begins with a new concept we're going to get into, tree! Isn't that a little bit exciting? Let's start with the concept.Of course the concept to understand, if not immediately understood, you can follow the combination

Two methods to implement the tree structure: 1. RecursionRecursion refers to explicitly calling itself in a function.Recursive tree structure is characterized by fast data writing speed and slow display speed (especially when there are many branches/layers of the tree ). App

Two methods of implementing the tree-like structure 1. Recursive method Recursion refers to an explicit invocation of itself in a function. The feature of the tree structure by recursion is that it is faster to write data and slower to display (especially in the case of branches/levels of trees). Applies to the case th

with a depth of K has at most 2^k-1 nodes (k>=1). Sequential storage structure of binary tree The sequential storage structure of binary tree is to store each node in the binary tree with one-dimensional array, and the storage location of nodes can reflect the logical rel

Program 1. Recursive method Recursion refers to an explicit invocation of itself in a function. The feature of the tree structure by recursion is that it is faster to write data and slower to display (especially in the case of branches/levels of trees). Applies to the case that the data volume is large and the structure of the

Last blog we talked about the physical storage structure adjacency matrix and adjacency linked list, and then gives the depth-first search and breadth-first search of graph. This blog post on the basis of the previous blog to extend, but also about the map. Today's blog mainly introduces two algorithms, are about the minimum spanning tree, one is the prim algorithm, the other is the Kruskal algorithm. These