Most Important Topics | Design and Analysis of Algorithm | strategy | Score 55+ | 3rd year Btech
Автор: LePic
Загружено: 2026-01-06
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Complete Playlist for Design and Analysis of Algorithm - • DAA UNIT-01 ONE SHOT | PYQ'S COVERED | BTE...
One shot - • DAA | Complete syllabus | One Shot | PYQ's...
→ In this video, I have explained a complete exam-oriented strategy to score 55+ marks in Design and Analysis of Algorithm for B.Tech AKTU 3rd Year students.
→ The strategy is strictly based on the official AKTU syllabus and previous year question trends.
What You Will Get in This Video
→ Complete preparation strategy for Daa or Design and Analysis of Algorithm exam
→ Most important topics to focus on
→ High-weightage questions based on PYQs
→ All important 2-marker questions
→ All important 7-marker questions
→ How to write answers in exams for maximum marks
→ Smart revision plan for last 7–10 days
→ Smart revision plan for last 7–10 hours
→ Common mistakes students make in Design and Analysis of Algorithm exam
Syllabus Coverage Used for Strategy
→ Algorithms, Analyzing Algorithms, Complexity of Algorithms, Growth of Functions
→ Performance Measurements, Sorting and Order Statistics - Shell Sort, Quick Sort, Merge Sort, Heap Sort
→ Comparison of Sorting Algorithms, Sorting in Linear Time.
→ Advanced Data Structures
→ Red-Black Trees, B – Trees, Binomial Heaps, Fibonacci Heaps
→ Tries, Skip List
→ Divide and Conquer with Examples Such as Sorting,
→ Matrix Multiplication
→ Greedy Methods with Examples Such as Optimal Reliability Allocation
→ Knapsack, Minimum
→ Spanning Trees – Prim’s and Kruskal’s Algorithms
→ Single Source Shortest Paths - Dijkstra’s and
→ Dynamic Programming with Examples Such as Knapsack
→ All Pair Shortest Paths Warshal’s and Floyd’s Algorithms
→ Resource Allocation Problem
→ Backtracking
→ Branch and Bound
→ Travelling Salesman Problem
→ Graph Coloring
→ n-Queen Problem, Sum of Subsets
→ Algebraic Computation, Fast Fourier Transform
→ String Matching,
→ Theory of NPCompleteness
→ Approximation Algorithms and Randomized Algorithms
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