DataStructures

Data Structures

• Linear Data Structures:

  Data elements are arranged sequentially in a single level, where each element is connected to its previous and next element in a straight line. They allow traversal of elements in a single, linear run. This structure is generally easier to implement and understand.

  Ex:- Arrays, Linked lists, stacks, and queues

  • They are suitable for simple, ordered data storage and manipulation tasks.

• Non-linear Data Structures:

  Data elements are arranged hierarchically or in complex networks, spanning multiple levels. Elements can have relationships with multiple other elements, requiring traversal methods like depth-first search (DFS) or breadth-first search (BFS). These structures are more complex to implement but utilize memory efficiently and model complex relationships well.

  Ex:- Trees, Graphs etc..

  • They are ideal for applications involving hierarchical data, complex relationships, or multiple levels, such as social networks, file systems, and artificial intelligence.

Core Data Structures

1. Arrays
2. Linked Lists
3. Stacks
4. Queues
5. Hash tables
6. Trees
7. Heaps
8. Graphs

1. Array