Before Going into the subject lets learn some basics of it
Basics Of Data Structures
Topics Covered
- Array
- Stack
- Queue
- LinkedList
- Tree
- Graph
Types Of Data Structures
In these pdf we will discuss some little more about Basics
Overview Of Data Structures
This Pdf gives about overview it can serve as a foundational guide for anyone beginning their journey in learning Data Structures and Algorithms, providing both theoretical knowledge and practical problem-solving techniques.
Topics Covered
What is Data Structure?
- Definition and importance of data structures in efficient data management.
- Focus on minimizing time and space complexities.
2. What is Algorithm?
- Definition and explanation of algorithms.
- Steps to solve problems or perform calculations systematically.
3.How to Start Learning DSA?
- Breakdown of the learning process into four parts:
- Time and Space complexities.
- Basics of individual Data Structures.
- Basics of Algorithms.
- Practice Problems on DSA.
4.Learn Algorithms?
Searching Algorithms: Linear Search, Binary Search, Jump Search, Interpolation Search, Exponential Search.
- Sorting Algorithms: Bubble Sort, Selection Sort, Insertion Sort, Quick Sort, Merge Sort.
Divide and Conquer Algorithms: Breaking problems into subproblems, solving them recursively, and combining solutions. - Greedy Algorithms: Building solutions piece-by-piece for immediate benefits. Examples include Fractional Knapsack Problem.
Recursion: Concept of repeated usage of code. Examples include Tree traversals, Graph traversals, Backtracking algorithms.
Backtracking Algorithms: Trying all possible solutions and finding the correct one. Examples include Knight’s tour problem, N-Queen problem, Sudoku.
Dynamic Programming: Optimization of recursive solutions by avoiding repeated calculations. Concepts include Tabulation vs. Memoization, Optimal Substructure, Overlapping Subproblems.
Pattern Searching: Searching strings within another string.
Mathematical Algorithms: Solving Mathematical and Number Theory problems. Topics include GCD, LCM, Prime Factorization, Fibonacci Numbers, Modular Arithmetic, Euler Totient Function.
Geometric Algorithms: Solving geometric problems. Topics include lines, triangles, rectangles, circles, 3D objects, polygons, convex hulls.
HandWrittenNotes
Complete Handwritten Notes is given below
100_DSA_INTERVIEW_QUESTIONS
Top 100 Questions asked in Top MNC Companies
DSA_SHORT_NOTES
This Pdf will provide a short revision on Data Structures
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