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Complete Data Structure & Algorithm Handwritten Notes
Introducing “Complete Data Structures and Algorithms (DSA) using C++ Handwritten Notes: A Comprehensive Guide to Mastering DSA” 🅒
Unlock the full potential of Data Structures and Algorithms (DSA) with this meticulously crafted collection of handwritten notes . Whether you’re a beginner in the world of DSA or an experienced coder looking to sharpen your skills, these notes provide a rock-solid foundation and elevate your DSA proficiency to new heights .
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Syllabus Included in this Ebook 👇
Chapter 1: Introduction to Data Structures
- Overview of data structures and their significance
- Basic terminologies and concepts in data structures
- Time and space complexity analysis
Chapter 2: Arrays and Strings
- One-dimensional arrays and their operations
- Multidimensional arrays and matrices
- Strings and string manipulation techniques
Chapter 3: Linked Lists
- Singly linked lists and their operations
- Doubly linked lists and circular linked lists
- Applications of linked lists
Chapter 4: Stacks and Queues
- Stack data structure and its implementation using arrays and linked lists
- Stack operations (push, pop, peek)
- Queue data structure and its implementation using arrays and linked lists
- Queue operations (enqueue, dequeue)
Chapter 5: Recursion
- Introduction to recursion and its principles
- Recursive algorithms and their analy
- Recursive solutions to common problems (e.g., factorial, Fibonacci series)
Chapter 6: Trees
- Introduction to trees and their properties
- Binary trees, binary search trees, and balanced search trees
- Tree traversal algorithms (pre-order, in-order, post-order)
- Binary heaps and priority queues
Chapter 7: Graphs
- Graph representations (adjacency matrix, adjacency list)
- Graph traversal algorithms (breadth-first search, depth-first search)
- Minimum spanning tree algorithms (Prim's algorithm, Kruskal's algorithm)
- Shortest path algorithms (Dijkstra's algorithm, Bellman-Ford algorithm)
Chapter 8: Hashing
- Hash tables and hash functions
- Collision resolution techniques (chaining, open addressing)
- Applications of hashing
Chapter 9: Advanced Data Structures
- AVL trees and balancing techniques
- B-trees and their properties
- Trie data structure and its applications
- Disjoint-set data structure and its operations
Chapter 10: Advanced Topics
- Dynamic programming and memoization
- Graph algorithms (topological sort, strongly connected components)
- Segment trees and Fenwick trees
- String algorithms (pattern matching, string compression)
How to Purchase and Download Ebook 👇
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