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Efficient Algorithm Design
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Iterative sorting algorithms are renowned for their simplicity, making them easy to understand, implement, and debug. The major advantage of iterative sorting methods is their space efficiency; they typically require minimal additional memory, which can be a significant benefit in memory-constrained environments. However, these algorithms often exhibit poor performance in terms of time complexity, especially when handling large datasets. This limitation can be particularly problematic in scenarios where data size and processing time are critical factors. This section introduces three common iterative sorting algorithms: bubble sort, selection sort, and insertion sort.
Bubble sort is a simple comparison-based algorithm that repeatedly scans through an array, comparing and swapping adjacent elements if they are in the wrong order. This process is repeated until the entire array is sorted. The analogy of “bubbling” arises from...