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Happy Coding! Happy Learning!
Welcome to the Searching and Sorting Class - III! In this advanced segment of the class, we'll explore even more complex searching and sorting algorithms, as well as optimizations and data structures that can further enhance the efficiency of these operations. Let's dive into the topics we'll cover:
Advanced Searching Techniques:
- Ternary Search
- Fibonacci Search
- Interpolation Search for Non-Uniformly Distributed Data
- Time and Space Complexity Analysis
Multi-Dimensional Searching:
- Searching in Multi-Dimensional Arrays
- Quadtree and Octree for Spatial Data
External Searching:
- B-Trees for External Searching
- B+ Trees for Database Indexing
In-Place Sorting:
- In-Place Sorting Algorithms
- In-Place Merge Sort
- In-Place Quick Sort
- Time and Space Complexity Analysis
External Sorting with Disk-Based Algorithms:
- Multiway Merge Sort
- Polyphase Merge Sort
Searching and Sorting in Parallel and Distributed Systems:
- Parallel Searching Algorithms
- Parallel Sorting Algorithms
- MapReduce for Sorting and Searching
Searching and Sorting in Data Structures:
- Searching and Sorting in Binary Search Trees
- Searching and Sorting in AVL Trees
Throughout the class, we'll provide in-depth explanations, code examples in C++, and practical exercises to reinforce your understanding of the topics. We'll also discuss the trade-offs and advantages of different algorithms in various scenarios.
If you have specific topics or areas of interest within searching and sorting that you'd like to explore in this class, please let me know, and I'll ensure to include them in the curriculum. Happy learning!
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SCIAKU Team please upload 1st video of TREE please please please, please