ADVANCED DATA STRUCTURE Notes, Syllabus Solution PDF
ADVANCED DATA STRUCTURE Notes, Syllabus Solution PDF here this blog provides all ds notes solution of of paperer in kuk univiversity .
Advanced data structures are specialized formats for organizing and storing data efficiently, enabling sophisticated algorithms to perform complex tasks with high performance. These structures go beyond basic types like arrays, linked lists, stacks, and queues to solve more complex problems. Here is an introduction to some key advanced data structures:
### 1. **Trees**
- **Binary Trees:** A tree data structure in which each node has at most two children, referred to as the left and right child.
- **Binary Search Trees (BST):** A binary tree where the left child of a node contains only nodes with values less than the node's value, and the right child only nodes with values greater.
- **Balanced Trees:** Trees like AVL and Red-Black Trees maintain balance to ensure operations like insertion, deletion, and lookup remain efficient (O(log n) time complexity).
- **B-Trees and B+ Trees:** Used in databases and file systems to store data that allows efficient insertion, deletion, and search operations.
### 2. **Heaps**
- **Binary Heaps:** A complete binary tree that satisfies the heap property (max-heap or min-heap). It is commonly used to implement priority queues.
- **Fibonacci Heaps:** Supports a more efficient decrease-key operation, useful in algorithms like Dijkstra's and Prim's.
### 3. **Hash Tables**
- **Hash Maps:** Use a hash function to map keys to values, allowing for average-case O(1) time complexity for lookups, insertions, and deletions.
- **Extendible Hashing and Linear Probing:** Techniques to handle collisions and dynamic resizing.
### 4. **Graphs**
- **Adjacency List and Matrix:** Representations of graphs to store edges and vertices efficiently.
- **Advanced Graph Structures:** Such as Directed Acyclic Graphs (DAGs), which are used in applications like scheduling and data processing pipelines.
BOOK IMAGE
PAPER 2018 TO 2023 ALL PAPER
| ADS PAPER |
|---|
| ADS 2018 |
| ADS 2019 |
| ADS 2020 |
| ADS 2021 |
| ADS 2024 |
NOTES FULL SYLLABUS ACCORDING TO UNIVERSITY
ADS WEB REFERENCE FOR ALL TOPICS
| TITLE | WEB REFERENCE |
| UNIT 1 | |
| Tree: Introduction, Definition, Representing Binary tree in memory, | https://www.javatpoint.com/binary-tree |
| Traversal in Binary trees | https://www.javatpoint.com/tree-traversal |
| Binary search trees: introduction, storage, Searching, Insertion and deletion in a Binary search tree, | https://www.javatpoint.com/binary-search-tree |
| Huffamen ALGORITHM | https://www.javatpoint.com/huffman-coding-algorithm |
| General Tree | https://www.geeksforgeeks.org/difference-between-general-tree-and-binary-tree/ |
| UNIT 2 | |
| DS GRAPH | https://www.mediafire.com/file/r0e0tef1yu90omn/DS_graph.pdf/file |
| UNIT 3 | |
| Sorting | https://www.javatpoint.com/sorting-algorithms |
| UNIT 4 |
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