What does BST mean in ASSEMBLY

A binary search tree is a type of data structure used to store data in a way that makes it easier to search and retrieve information. The structure of the tree allows for quick searching, while also providing an efficient means of organizing data.

A binary search tree consists of nodes, which are connected by edges or links. Each node has two children, which can be either left or right subtrees. Each node contains a key that helps identify it and any associated data that may be stored with the key.

BSTs are commonly used in applications such as databases, online gaming platforms, and search engines. They provide an effective way to organize large amounts of information quickly and efficiently without having to traverse through extensive linear pathways like linked lists or arrays do.

To build a BST you must first create the root node which will become the starting point for all other nodes in the tree. Then add nodes one at a time so that each new node follows the rules set by its parent (the larger keys go on the right side while smaller ones go on the left). Finally traverse through each branch of the tree until all nodes have been added successfully or until you have reached your desired depth level.

One disadvantage is that they can become unbalanced over time if frequent insertions and deletions occur without appropriate rebalancing measures taken place after each operation. This can make searching for items less efficient than if it were balanced correctly.