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Overview:
This PR introduces a comprehensive collection of popular Java sorting algorithms, designed to be both efficient and readable. The algorithms are implemented with clean code practices, proper use of Java's object-oriented principles, and extensive inline documentation to enhance understanding.
Key Features:
Bubble Sort: Implements the simple comparison-based algorithm with optimization to minimize unnecessary passes after the array is sorted.
Selection Sort: Provides an intuitive selection-based sorting method with detailed comments to explain the inner workings.
Insertion Sort: Demonstrates the method of inserting elements in the correct position in a growing sorted array.
Merge Sort: Efficient, divide-and-conquer recursive sorting technique with explanations of the recursion depth and merge steps.
Enhancements:
Time Complexity: Detailed documentation of best, average, and worst-case time complexities for each algorithm.
Test Coverage: Includes JUnit tests for all sorting algorithms, ensuring correctness across edge cases (empty arrays, single elements, pre-sorted, reverse-sorted).
Scalability: Algorithms are benchmarked on large data sets to compare performance and memory usage, with results documented for reference.
Modular Design: Sorting algorithms are structured in separate classes for easier maintenance, extension, and testing.
Why This Matters:
These sorting algorithms are foundational in computer science, making this PR an essential addition to the repository. They not only serve as a learning tool but also as a reference for performance analysis and algorithm comparison in Java-based projects.
📦 Java Sorting Algorithms Implementation
Overview: This PR introduces a comprehensive collection of popular Java sorting algorithms, designed to be both efficient and readable. The algorithms are implemented with clean code practices, proper use of Java's object-oriented principles, and extensive inline documentation to enhance understanding.
Key Features: Bubble Sort: Implements the simple comparison-based algorithm with optimization to minimize unnecessary passes after the array is sorted. Selection Sort: Provides an intuitive selection-based sorting method with detailed comments to explain the inner workings. Insertion Sort: Demonstrates the method of inserting elements in the correct position in a growing sorted array. Merge Sort: Efficient, divide-and-conquer recursive sorting technique with explanations of the recursion depth and merge steps.
Enhancements: Time Complexity: Detailed documentation of best, average, and worst-case time complexities for each algorithm. Test Coverage: Includes JUnit tests for all sorting algorithms, ensuring correctness across edge cases (empty arrays, single elements, pre-sorted, reverse-sorted). Scalability: Algorithms are benchmarked on large data sets to compare performance and memory usage, with results documented for reference. Modular Design: Sorting algorithms are structured in separate classes for easier maintenance, extension, and testing.
Why This Matters: These sorting algorithms are foundational in computer science, making this PR an essential addition to the repository. They not only serve as a learning tool but also as a reference for performance analysis and algorithm comparison in Java-based projects.