Merging Network | Design and Analysis Of Algorithms (DAA) | IPU | Unit-4 | #ipu #education

Merging Network 👆👆👆 Bitonic Sorting Network :    • Bitonic Sorting Network | Design and Analy...   Zero-One Principle:    • Zero One principle | Design and Analysis O...   Comparison networks:    • Comparison Networks | Design and Analysis ...   Sorting Networks:    • Sorting Networks | Design and Analysis Of ...   Maximum Bipartite Matching:    • Maximum Bipartite Matching | Design and An...   Flow and Sorting Networks: Ford Fulkerson Method :    • Flow & Sorting Networks: Ford Fulkerson Me...   Approximation Algorithm & Vector Cover:    • Approximation Algorithm & Vector Cover| De...   NP hard and NP complete:    • NP Hard & NP Complete classes | Design and...   Basic Concepts, Polynomial & Non-Polynomial Complexity :    • Polynomial & Non-Polynomial Complexity | D...   Knuth Morris Pratt Algorithm :    • Knuth Morris Pratt Algorithm | Design and ...   String Matching Using Finite Automata:    • String Matching Using Finite Automata | De...   Rabin Karp Algorithm:    • The Rabin-Karp Algorithm | Design and Anal...   Naive String Matching Algorithm:    • Naive String Matching Algorithm | Design a...   Travelling Salesman Problem (Branch & Bound) part 2:    • Travelling Salesman Problem (Branch & Boun...   Travelling Salesman Problem (Branch & Bound) part 1:    • Travelling Salesman Problem (Branch & Boun...   0/1 Knapsacks Problem (Branch & Bound):    • 0/1 Knapsacks Problem (Branch & Bound) | D...   Branch and Bound General Methods:    • Branch and Bound Methods | Dynamic program...   Floyd Warshall Algorithm:    • Floyd Warshall Algorithm | Dynamic program...   Travelling Salesman Problem:    • Travelling Salesman Problem | Dynamic prog...   0/1 Knapsacks Problem Example 2:    • 0/1 Knapsacks Problem Part 2 | Dynamic pro...   0/1 Knapsacks Problem :    • 0/1 Knapsacks Problem | Dynamic programmin...   Longest common Subsequence :    • Longest common Subsequence | Dynamic progr...   Dynamic Programming (Matrix Chain Multiplication) :    • Dynamic programming | Matrix Chain Multipl...   Backtracking(8 queen problem, graph colouring, Hamiltonian Cycle and analysis of these problems):    • Backtracking All Applications | Design and...   Single Source Shortest Path & analysis of these problems :    • Single Source Shortest Path | Design and A...   Minimum Spanning Trees (Prim's and Kruskal's Algorithm) :    • Minimum Spanning Trees | Design and Analys...   Huffman coding :    • Huffman Coding | Design and Analysis Of Al...   Job Sequencing with deadlines:    • Job Sequencing with Deadlines | Design and...   General, Knapsack Problem:    • Greedy Method: General, Knapsack Problem |...   Divide & Conquer:    • Divide & Conquer (All Methods Complete) | ...   #ipu #mait #engineering #education #huffman #huffmancoding #algorithmanalysis Design and Analysis Of Algorithms (DAA) All units Covered Unit 1, Unit 2, Unit 3, Unit 4 Best suitable for IPU Students and IPU Syllabus GGSIPU AKTU MAIT MSIT BVCOE BPIT GNIOT GTBIT ADGITM HMRITM SAITM ... TOPICS COVERED UNIT‐I Asymptotic notations for time and space complexity, Methods for solving Recurrence relations, Brief Review of Graphs, Sets and disjoint sets, union, sorting and searching algorithms and their analysis in terms of space and time complexity. Divide and Conquer: General method, binary search, merge sort, Quick sort, selection sort, Strassen’s matrix multiplication algorithms and analysis of algorithms for these problems. UNIT‐II Greedy Method: General method, knapsack problem, Huffman Codes, job sequencing with deadlines, minimum spanning trees, single souce paths and analysis of these problems. Back Tracking: General method, 8 queen’s problem, graph colouring, Hamiltonian cycles, and analysis of these problems. UNIT‐III Dynamic Programming: Ingredients of Dynamic Programming. Matrix Chain Multiplication, Longest common subsequence and optimal binary search trees problems, 0‐1 knapsack problem, Traveling salesperson problem, Floyd Warshall algorithm. Branch and Bound: Method, O/I knapsack and traveling salesperson problem UNIT ‐ IV String Matching: The naïve String Matching algorithm, The Rabin‐Karp Algorithm, String Matching with finite automata, The Knuth‐Morris Pratt algorithm. Computational Complexity: Basic Concepts, Polynomial vs Non‐Polynomial Complexity, NP‐ hard & NP‐ complete classes. Approximation Algorithms Flow and Sorting Network: Ford‐ Fulkerson method, Maximum bipartite matching, Sorting Networks, Comparison network, Zero‐ one principle, Bitonic sorting network, merging network Stay tuned with our videos and to get the updates or notifications of our latest videos please Subscribe Our Channel !!! SUBSCRIBE : @rishabhgoel16 Don't Forget to like, share, and subscribe our channel. It Gives us Motivation for Uploading such more useful contents for you in the near future !!! #engineering #easyengineering #ipuacademy #midsem #endsem #education #educational #educationalvideo #explore #exam #knapsackproblem #ipu All the best for your Semester Exams 👍👍👍.