homebrew tree

Basic Concepts The level of a node is defined from the root. The root layer is the first layer, and the child of the root layer is the second layer. The height of a binary tree: the maximum level of a node in the tree is called the depth or height of the tree.Binary Tree In computer science, a binary tree is an ordered

Rokua Topic PortalThe YCB a detailed explanation of the problem. %ycb%, please click here.Thinking analysisThere is no way to apply the static Chairman tree. Because the \ (n\) segment tree is entangled with each other, once changed a point, the entire chairman of the tree will be changed again ...I'm really going to forget. There is a data structure that can sup

Scenario: Resolve a lookup in a large amount of data on the hard disk. Because a large amount of data is stored in the hard disk, can not be loaded into memory all at once, and each time a data read the hard disk, reading speed is too slow, it is necessary to use a part of a data structure read in, this is the role of multi-path search tree. 2-3 Trees 2 nodes: Each of the points contains one element and two children (or no children). Where the left c

Rokua Topic PortalEmm ... The title of the topic wrote a balance tree, but the theoretical complexity of the problem of the optimal solution should be a tree array set of domain segment tree bar.Just like the dynamic ranking (Konjac Konjac sol, put a link scam traffic 233)All values (including the initial a array, operations 1, 3, 4, 5 K) are all thrown in first

Title Link: BZOJ-3196Problem analysisThe interval kth and interval rank are implemented by the tree array nested segment tree, and the interval precursor successor is implemented by the set of segment tree sets.In order to save space, need to go offline, first discretization, so that the size of the required array can be smaller, you can pass 128MB =Well, that's

Title Link: BZOJ-1901Problem analysisThis problem can be solved by tree array or line segment tree.The first layer is the interval and the second layer is the weight value.Both spatial complexity and time complexity are O (n log n).CodeTree array nested segment tree#include [Bzoj 1901] Dynamic rankings "Tree array set segment

[Tree structure] No root tree to a root tree, no root tree to a root tree // Enter n number of nodes in the rootless tree, n-1 edge (u, v), and root number of the root to be specified, create a root-root

[Data structure] Chapter 1 search! (Binary Search Tree bst avl Tree B-(+) tree dictionary tree HASH table ), Difficult to take notes... I was planning to use the result of one day before and after the result was dragged for five days. § 9. 1 static search table9.1.1 search for a sequence table Complexity O (n)9.1.2 qu

1. Balanced binary Tree(1) Origin: Balanced binary tree is a binary tree based on the strategy to improve data search speed of the data structure of two trees;(2) Features:The Balanced binary tree is the data that the data is assembled into a tree structure by the method of

Label: C ++ BST That is, the binary search tree: 1. All non-leaf nodes have at most two sons (left and right ); 2. All nodes store a keyword; 3. The left pointer of a non-leaf node points to the subtree smaller than its keyword, And the right Pointer Points to the subtree larger than its keyword; For example: B-tree (B-tree) Is a multi-path search

Background: These days watching "high-performance MySQL", in the view of creating high-performance indexes, the book says that the MySQL storage engine InnoDB the type of index used is b+tree, then, you have not produced such a question, for the data index, why use b+tree this data structure, Compared to other trees, what are the advantages of it? After reading this article you will learn about the principl

This article comes from a question I answered on the understandingAVL tree, red-black tree, B-tree, + + tree, Trie tree are each used in which realistic scenes?After reading, you may understand the general principles of these data structures and why they are used in these sc

In the previous decision tree Introduction, we used the ID3 algorithm to construct the decision tree; Here we use the cart algorithm to build the regression tree and the model tree. The ID3 algorithm divides the data by selecting the best feature at a time, and distinguishes it by all possible values of the feature. Fo

B tree That is, the binary search tree:1. All non-leaf nodes have at most two sons (left and right );2. All nodes store a keyword;3. The left pointer of a non-leaf node points to the subtree smaller than its keyword, And the right Pointer Points to the subtree larger than its keyword;For example:B-tree search starts from the root node. If the query keyword is the

B tree That is, the binary search tree: 1. All non-leaf nodes have at most two sons (left and right ); 2. All nodes store a keyword; 3. The left pointer of a non-leaf node points to the subtree smaller than its keyword, And the right Pointer Points to the subtree larger than its keyword; For example: B-tree search starts from the root node. If the query keyword