A dynamic data structure is a type of data structure that can grow or shrink in size during the execution of a program. Unlike static data structures, which have a fixed size determined at compile-time, dynamic data structures provide more flexibility and efficiency when dealing with varying amounts of data.

One common example of a dynamic data structure is the **linked list**. A linked list is made up of nodes, where each node contains a value and a pointer to the next node in the list. This allows for efficient insertion and deletion of elements, as it only requires updating the pointers rather than shifting elements like in an array.

## Advantages of Dynamic Data Structures:

**Flexibility:**Dynamic data structures can be easily resized to accommodate changing requirements. This makes them ideal for situations where the amount of data is unknown or subject to change.**Efficiency:**Dynamic data structures often provide efficient operations for insertion, deletion, and retrieval. Linked lists, for example, have constant time complexity for insertion and deletion at both ends.**Memory utilization:**Dynamic data structures allocate memory dynamically as needed, reducing wastage of resources compared to fixed-size static data structures.

## Common Examples of Dynamic Data Structures:

### 1. Linked List

A linked list is a sequence of elements where each element contains both its value and a reference (or link) to the next element in the sequence. Linked lists can be singly linked (each node points to the next node) or doubly linked (each node points both to the next and previous nodes).

### 2. Stack

A stack is an abstract data type that follows LIFO (Last In, First Out) ordering.

It allows operations such as push (add an element to the top) and pop (remove the top element). Stacks can be implemented using arrays or linked lists.

### 3. Queue

A queue is another abstract data type that follows FIFO (First In, First Out) ordering.

It supports operations such as enqueue (add an element to the end) and dequeue (remove the first element). Queues can also be implemented using arrays or linked lists.

### 4. Tree

A tree is a hierarchical data structure consisting of nodes connected by edges.

Each node can have zero or more child nodes, with one node being designated as the root. Trees are commonly used for organizing hierarchical data, such as file systems or organization charts.

**In conclusion**, dynamic data structures provide flexibility, efficiency, and optimal memory utilization in scenarios where the size of the data may vary. Linked lists, stacks, queues, and trees are some common examples of dynamic data structures that are widely used in various applications.