Complete DAA Design and Analysis of Algorithm in one shot | Semester Exam | Hindi

Complete DAA Design and Analysis of Algorithm in one shot | Semester Exam | Hindi

💻 KnowledgeGate Website: https://www.knowledgegate.ai For free notes on University exam’s subjects, please check out our course: https://knowledgegate.ai/courses/FREE... 📝 Please message us on WhatsApp: https://wa.me/918000121313 ➡ Contact Us: 👇 📞Call on: +91-8000121313 🟦 Telegram Updates: https://t.me/kg_gate 🟩 Whatsapp Updates: https://www.whatsapp.com/channel/0029... 📧 Email: [email protected] ➡ One Shot Complete Playlist for GATE CSE Exam : 👇 ▶️ http://tiny.cc/GATEoneshotplaylist ➡ Our One Shot Semester Exam Videos: 👇 ▶ Operating System:    • Complete Operating System in one shot | Se...   ▶ DBMS:    • Complete DBMS Data Base Management System ...   ▶ Computer Network:    • Complete CN Computer Networks in one shot ...   ▶ Digital Electronics:    • Complete DE Digital Electronics in one sho...   ▶ Computer Architecture:    • Complete COA Computer Organization & Archi...   ▶ Data Structure:    • Complete DS Data Structure in one shot | S...   ▶ Algorithm:    • Complete DAA Design and Analysis of Algori...   ▶ Software Engineering:    • Complete Software Engineering in one shot ...   ▶ Theory of Computation:    • Complete TOC Theory of Computation in one ...   ▶ Compiler:    • Complete CD Compiler Design in one shot | ...   ▶ Discrete Maths:    • Complete DM Discrete Maths in one shot | S...   ▶ Artificial Intelligence:    • Complete AI Artificial Intelligence in one...   ▶ Machine Learning:    • Complete ML Machine Learning in one shot |...   #knowledgegate #sanchitsir #sanchitjain ********************************************************* Content in this video: 00:00 (Chapter-0:- About this video) 02:10 (Chapter-1 Introduction): Algorithms, Analysing Algorithms, Efficiency of an Algorithm, Time and Space Complexity, Asymptotic notations: Big-Oh, Time-Space trade-off Complexity of Algorithms, Growth of Functions, Performance Measurements. 1:20:55 (Chapter-2 Sorting and Order Statistics): Concept of Searching, Sequential search, Index Sequential Search, Binary Search Shell Sort, Quick Sort, Merge Sort, Heap Sort, Comparison of Sorting Algorithms, Sorting in Linear Time. Sequential search, Binary Search, Comparison and Analysis Internal Sorting: Insertion Sort, Selection, Bubble Sort, Quick Sort, Two Way Merge Sort, Heap Sort, Radix Sort, Practical consideration for Internal Sorting. 3:14:59 (Chapter-3 Divide and Conquer): with Examples Such as Sorting, Matrix Multiplication, Convex Hull and Searching. 3:40:22 (Chapter-4 Greedy Methods): with Examples Such as Optimal Reliability Allocation, Knapsack, Huffman algorithm 4:36:05 (Chapter-5 Minimum Spanning Trees): Prim’s and Kruskal’s Algorithms 5:00:25 (Chapter-6 Single Source Shortest Paths): Dijkstra’s and Bellman Ford Algorithms. 5:25:25 (Chapter-7 Dynamic Programming): with Examples Such as Knapsack. All Pair Shortest Paths – Warshal’s and Floyd’s Algorithms, Resource Allocation Problem. Backtracking, Branch and Bound with Examples Such as Travelling Salesman Problem, Graph Coloring, n-Queen Problem, Hamiltonian Cycles and Sum of Subsets. 6:52:40 (Chapter-8 Advanced Data Structures): Red-Black Trees, B – Trees, Binomial Heaps, Fibonacci Heaps, Tries, Skip List, Introduction to Activity Networks Connected Component. 8:36:05 (Chapter-9 Selected Topics): Fast Fourier Transform, String Matching, Theory of NPCompleteness, Approximation Algorithms and Randomized Algorithms