11. Selection Sort
Sorting is crucial for efficient searching and statistical analysis, where sorted data allows for fast retrieval of information and easier subsequent calculations. Selection sort is presented as a basic sorting algorithm that iteratively selects the smallest elements and organizes them in order, either through creating a new list or swapping elements in place. The algorithm has a time complexity of O(n²), making it less efficient for larger datasets.
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What we have learnt
- Sorting data is essential for faster searching and statistical analysis.
- Selection sort works by repeatedly finding the minimum element and placing it in the correct position.
- The algorithm can be implemented both iteratively and recursively, both resulting in a time complexity of O(n²).
Key Concepts
- -- Selection Sort
- A sorting algorithm that sorts an array by repeatedly selecting the minimum element from the unsorted segment and moving it to the sorted segment.
- -- Time Complexity
- A computational complexity that describes the amount of time an algorithm takes to complete as a function of the length of the input.
- -- Linear Time and Logarithmic Time
- Linear time refers to an algorithm's time that increases linearly with the input size, while logarithmic time increases logarithmically, making it faster for large datasets.
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