Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβperfect for learners of all ages.
The chapter explains the mechanics of balancing binary search trees, particularly focusing on rotations to maintain height balance. It elucidates the conditions under which left and right rotations should be executed in response to imbalances in the tree structure. By optimizing these operations, the approach ensures logarithmic time complexity for various operations including insertion, deletion, and searching.
Enroll to start learning
Youβve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
References
ch40 part b.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: HeightBalanced Tree
Definition: A binary tree where the height of the two child subtrees of any node differ by no more than one.
Term: Rotations
Definition: Local operations performed on a tree to change its structure while maintaining the binary search property.
Term: Complexity
Definition: The performance measure, indicating that all operations related to a height-balanced tree can be performed in logarithmic time relative to the number of nodes.