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Data structures are fundamental building blocks in computer science, providing efficient ways to organize and manage data. C language, a powerful and widely used programming language, offers a rich set of built-in data structures and allows you to create custom ones.
Built- in Data Structures in C- Arrays:
- A collection of elements of the same data type, stored in Whatsapp Number contiguous memory locations.
- Types: One-dimensional arrays, multi-dimensional arrays.
- Example: int numbers[5];
- Pointers:
- Variables that store the memory address of another variable.
- Used to manipulate memory directly and create dynamic data structures.
- Linked Lists:
- A linear collection of elements where each element points to the next element.
- Types: Singly linked lists, doubly linked lists, circular linked lists.
- Stacks:
- A Last-In-First-Out (LIFO) data structure.
- Operations: push, pop, peek.
- Queues:
- A First-In-First-Out (FIFO) data structure.
- Operations: enqueue, dequeue, peek.
- Trees:
- A hierarchical data structure with nodes and edges.
- Types: Binary trees, binary search trees, AVL trees, red-black trees, heaps.
- Graphs:
- A collection of nodes (vertices) and edges (connections).
- Types: Directed graphs, undirected graphs.
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Applications of Data Structures in C- System programming: Memory management, process scheduling, file systems.
- Algorithm design and analysis: Implementing and analyzing algorithms.
- Database systems: Indexing, query processing, data storage.
- Game development: Representing game objects, managing game states.
- Artificial intelligence: Implementing machine learning algorithms.
Key Considerations for Data Structure Selection- Time complexity: The efficiency of operations in terms of time.
- Space complexity: The amount of memory required to store the data structure.
- Functionality requirements: The specific operations needed for the application.
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