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## What do we call the Binary Tree Nodes with No Successor?

A. End nodes

B. Terminal nodes

C. Final nodes

D. Last nodes

**Answer: **The binary tree nodes with no successor are called as Terminal nodes.

**What is a node in binary tree?**

A binary tree is a data structure used to represent a structure on a computer. The most basic type of binary tree is a visited binary tree, or simply visited.

A visited binary tree stores each leaf as a 2-visit structure. The second level of a visited binary tree stores the two points that are next to each other in the visited structure, 3-visit structures.

**Complete binary tree**

A complete binary tree is a special kind of binary tree where insertion takes place level by level and from left to right order at each level and the last level is not filled fully always.

A complete binary tree is used in computer memory to store data in a specific manner, as opposed to an incomplete tree which would lead to an error at some later time.

The reason for this is because when you add or remove a leaf from a complete binary tree, you are actually erasing information from the remaining binary trees below it.

And since there are no duplicates within a complete binary tree there are no errors; however, when you remove a leaf from an incomplete binary tree then you are violating symmetry and could potentially get a different result than what you started with.

**Binary tree in data structure**

A binary tree is simply a generalization of a regular binary tree. In particular, it has two children for each node, rather than just one.

The nonlinearity arises because every node in a binary tree has two children, not just one. This allows the values of adjacent children to differ; for example, a number at the bottom of the tree could be negative or even zero.

A binary tree is often used in data structures due to its structure: it has two levels, a left and a right branch. The left branch is the subtree corresponding to the right leaf of the binary tree.

**Binary tree search**

The binary tree search referred to an advanced algorithm used for analyzing the node, its left and right branches, which are modeled in a tree structure and returning the value. The BST is devised on the architecture of a basic binary search algorithm; hence it enables faster lookups, insertions, and removals of nodes.

The binary search tree has two main benefits when it comes to search (or solving) problems in computer science.

The first is speed. A binary tree is able to perform a part-, or even all, of its work in parallel. This is useful when you need to find something fast, such as in an algorithm’s solution step.

The second benefit is space efficiency. Given a large enough (constant-size) memory space, a binary search tree is able to perform all its operations in constant time even if there are lots of child nodes searching for parent nodes.

**Define binary tree**

A binary tree is a data structure in which a record is linked to two successor records, usually referred to as the left branch when greater and the right when less than the previous record.

It also has two roots, which represent the empty space between corresponding nodes in the tree.

For example, if a record has three children then there will be four successors, and each of those children will have three more children, and so on. This pattern continues until all the nodes in the tree have been visited.

We can store two values in a binary tree: a number and a string. The number can be either a one or a two-digit number. The string can be any length; it doesn’t need to be longer than a set length.

**Binary search tree data structure**

A Binary search tree is a fundamental data structure used to construct more abstract data structures such as sets, multisets, and associative arrays.

When inserting or searching for an element in a binary search tree, the key of each visited node has to be compared with the key of the element to be inserted or found.

Binary search trees build up a high-dimensional representation of the underlying data in a hierarchical fashion. Each level of the tree has a number of children that are descendants of the previous level.

There could be many ways to represent a binary search tree, but they all share the same structure. A binary search tree is typically used when you have a large amount of data to be tested for a given value.

In this case, we have a collection of data values representing sales figures for a specific product category with two possible outcomes: above or below target.

**Tree binary or Binary Tree**

A binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child.

A perfect binary tree is a binary tree in which all interior nodes have two children and all leaves have the same depth or same level.

An example of a perfect binary tree is the (non-incestuous) ancestry chart of a person to a given depth, as each person has exactly two biological parents (one mother and one father).