Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms
Intermediate
Online
5 Weeks
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 15868 | yes | Georgia Tech |
The Syllabus
- Review of important Java principles involved in object-oriented design
- The Iterator & Iterable design patterns, and the Comparable & Comparator interfaces
- Basic “Big-Oh” notation and asymptotic analysis
- Explore the AVL tree subgroup from Binary Search Trees (BST) and their distinguishing properties
- Discover the self-balancing of AVL trees, and which rotations are used to balance
- Implement the entire AVL tree data structure, and examine its performance
- Extend understanding of tree structures beyond binary trees to a more complex model
- Study the properties of (2-4) trees, and how operations maintain those properties
- Recognize when overflow and underflow situations arise within the (2-4) tree, and how to resolve those situations with promotion, fusion and transfer
- Understand and implement four basic iterative, comparison sorting algorithms: Bubble Sort, Insertion Sort, Selection Sort and Cocktail Shaker Sort
- Examine the characteristics of sorting algorithms: Stability, Adaptation and Memory
- Implement optimizations of these algorithms to yield better performance
- Analyze the time complexity of each of the algorithms
- Introduction to the Divide & Conquer approach to sorting algorithms
- Implement and comprehend each of the divide & conquer algorithms presented: Merge Sort, In-Place Quick Sort and LSD Radix sort
- Examine the stability and memory usage of these sorting algorithms
- Explore the novel approach that LSD Radix sort uses to solve the sorting dilemma
Articles
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20 Feb'24, 08:36 AM
22 Apr'25, 06:42 AM
7 Nov'24, 08:52 AM
12 Apr'24, 10:26 AM
20 Feb'24, 08:36 AM