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This article will explain in detail what is a balanced binary tree, the content of the article is of high quality, so the editor will share it for you as a reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Balanced binary tree is the data structure of binary tree, which is based on the strategy of dichotomy to improve the speed of data search. Using dichotomy thinking to assemble the data into a tree-structured data according to the rules, using this tree-structured data to reduce the retrieval of irrelevant data, which greatly improves the speed of data retrieval.

Balanced binary tree concept:

Balanced binary tree is the data structure of binary tree, which is based on the strategy of dichotomy to improve the speed of data search.

Features:

The balanced binary tree uses the dichotomy thinking to assemble the data into a tree structure data according to the rules, and uses the tree structure data to reduce the retrieval of irrelevant data, which greatly improves the speed of data retrieval. The data structure assembly process of balanced binary tree has the following rules:

(1) non-leaf nodes can only allow up to two child nodes.

(2) the data distribution rule of each non-leaf node is the value of the small current node of the child node on the left, and the child node on the right is larger than the value of the current node (where the value is based on its own algorithm rules, such as hash value).

The hierarchical structure of the balanced tree: because the query performance of the balanced binary tree is inversely proportional to the level (h height) of the tree, the smaller the h value, the faster the query. In order to ensure that the data at the left and right ends of the tree are roughly balanced, the query difficulty of the binary tree is generally reduced. An algorithm mechanism is generally used to balance the node data structure, such as Treap, red-black tree. The use of balanced binary tree can ensure that the node hierarchy difference between the left and right sides of the data will not be greater than 1. In this way, the tree structure will not become a linear linked list, which will affect the query efficiency. In the case of ensuring data balance, the speed of finding data is close to that of dichotomy.

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