(Theory) Data Structure & Algorithm
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1. Data Structure v/s Algorithm
| Aspect | Data Structure | Algorithm |
| Definition | A way of organizing and storing data efficiently. | A step-by-step procedure or set of instructions. |
| Purpose | Provides a means to manage and manipulate data. | Defines how data is processed to solve a problem. |
| Example | Arrays, linked lists, stacks, queues, trees, etc. | Searching algorithms, sorting algorithms, etc. |
| Operations | Insertion, deletion, searching, traversal, etc. | Searching, sorting, traversing, modifying, etc. |
| Efficiency | Efficiency depends on the chosen data structure. | Efficiency depends on the chosen algorithm. |
| Relationship | Algorithms operate on data structures. | Algorithms manipulate data within data structures. |
| Importance | Provides efficient storage and retrieval of data. | Determines the efficiency and performance of a program. |
| Usage | Used in designing and implementing software systems. | Used in problem-solving and optimization tasks. |
a.Worst case Time Complexities for popular data structures:
b. Time Complexities for popular sorting algorithms:
