3 Different Ways to Structure Data

 

DATA STRUCTURE

Organizing data in a way that reduces memory and CPU usage is becoming increasingly important these days. Data structure and its implementation in multiple languages ​​is a current topic for computer scientists today.

There are several types of data structures and algorithms based on advances in techniques and concepts. Well-developed data structures are used when large amounts of data are considered, and simple data structures are considered sufficient when user data is small.

Now let's take a look at the various data structures available and give a brief description of them.



Array: An array is a group of boxes or locations under consideration. Each character in the array is stored in this field in turn. There are two types of arrays. Static arrays and dynamic arrays. Static arrays are fixed in size and cannot be resized because dynamic arrays can be as large as physical memory. The following steps are performed to resize dynamic arrays.

Create a new array with a bigger size

Copy elements from the old array to the new array.

Remove old arrays from memory.

Binary stacks: Also known as stacks, they are used in priority queues and sort algorithms. A binary stack has a binary tree that is full and has no holes. This means that they should have a knot that runs from left to right and there may be a hole at the deepest level, not above it. There are two types of bets. Maximum stack and minimum stack. In Max Heap, the root node must be the highest value and the child nodes must be equal to or less than the primary node. Where, like a minimal stack, the root node is minimal and the child node is equal to or greater than the root node. The minimum stack is used in the priority queue, which is used as the maximum stack when running the stack sorting algorithm.

Binary search tree: This is a dynamic data structure whose size is limited to the free memory space in the operating system and whose amount is added during program execution. Binary search trees are a fast way to index order data for fast retrieval. Binary search trees can also be used to design map data structures. The height of the binary search tree determines the search speed. The lower the height, the faster the extraction.

 

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