Red-Black Tree: Implementation and Operations in Java Programming
VerifiedAdded on  2021/09/17
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Homework Assignment
AI Summary
This assignment presents a complete Java implementation of a Red-Black Tree, a self-balancing binary search tree. The code includes the `RBNode` class to represent nodes with color (red or black), data, and links to parent, left, and right children. The implementation covers essential operations such as insertion (`insert`), deletion (`delete`), and search (`search`). The `insert` function incorporates the `fixTree` method to maintain the Red-Black Tree properties after insertion, ensuring self-balancing through rotations and color adjustments. The `delete` function includes `transplant` and `deleteFixup` methods for handling node deletion while preserving the tree's structure and balance. Additional methods like `rotateLeft`, `rotateRight`, and `treeMinimum` are used to maintain the Red-Black Tree properties. The `run` method handles user input from a file, allowing the user to specify operations (insert or delete) on the tree. The `main` method instantiates the `RedBlackTree` class and initiates the program's execution by calling the `run` method. The code is designed to compile and run, demonstrating the functionality of a Red-Black Tree data structure. This solution is provided on Desklib, a platform that offers AI-based study tools and resources for students.
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