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Sorting Algorithms: Comparison and Implementation — Java
- This article provides an overview of different sorting algorithms, focusing on both comparative and non-comparative methods.
- Different types of sorting algorithms are a fundamental component for organizing data, which is often a prerequisite step before the data can be processed, searched, or optimized for algorithms in various applications.
- The article includes practical implementation of Quick Sort using Lomuto and Hoare partition schemes, highlighting their efficiency and use cases in various applications.
- Quick Sort is well suited for scenarios like E-commerce businesses to filter products by price, viewing items from the lowest to highest cost or vice versa.
- The article includes examples of implementation code in Java for Quick Sort using Lomuto Partition scheme.
- In computing science, different types of sorting algorithms are used. No one algorithm fits all applications, and the choice of which sorting algorithm to use depends on factors such as dataset size, data structure, and whether the data is already partially sorted.
- Quick Sort is efficient with large datasets, its time complexity is O(n log n), whereas bubble sort or selection sort have time complexity of O(n²).
- Merge Sort is more suited for linked lists, as it doesn’t require random access to elements, unlike Quick Sort, which relies on indexes to access elements.
- No one algorithm fits all applications and the choice of which sorting algorithm to use depends on factors such as dataset size, data structure, and the degree to which the data is already sorted.
- Quick Sort is an in-place sort, meaning that it uses minimal memory O(1), which is crucial when handling large datasets.
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