If you have any problem in downloading the above material, you can comment below. Click below link to download Design and Analysis of Algorithms Syllabus Notes Question papers Question Banks 2 marks with answers Part B Questions with answers download.ĬS8451 Notes 1 link download - Click here (includes 2 marks with answer, big question with answers, model question papers also)ĬS8451 Notes 2 link download - Click hereĬS8451 Question Bank download - click hereĬS8451 Two Marks with Answers download - click here* Branch and Bound – LIFO Search and FIFO search - Assignment problem – Knapsack Problem – Travelling Salesman Problem - Approximation Algorithms for NP-Hard Problems – Travelling Salesman problem – Knapsack problem. Backtracking – n-Queen problem - Hamiltonian Circuit Problem – Subset Sum Problem. Provides Electronics and Instrumentation Engineering Department one marks questions with answers in PDF Format/ Doc Format.

Lower - Bound Arguments - P, NP NP- Complete and NP Hard Problems. Here you can download Regulation 2017 EIE MCQ Questions PDF with answers here.

UNIT V COPING WITH THE LIMITATIONS OF ALGORITHM POWER The Simplex Method - The Maximum-Flow Problem – Maximum Matching in Bipartite Graphs, Stable marriage Problem. Greedy Technique – Container loading problem - Prim‘s algorithm and Kruskal's Algorithm – 0/1 Knapsack problem, Optimal Merge pattern - Huffman Trees. UNIT III DYNAMIC PROGRAMMING AND GREEDY TECHNIQUEĭynamic programming – Principle of optimality - Coin changing problem, Computing a Binomial Coefficient – Floyd‘s algorithm – Multi stage graph - Optimal Binary Search Trees – Knapsack Problem and Memory functions. Divide and Conquer Methodology – Binary Search – Merge sort – Quick sort – Heap Sort - Multiplication of Large Integers – Closest-Pair and Convex - Hull Problems. UNIT II BRUTE FORCE AND DIVIDE-AND-CONQUERīrute Force – Computing an – String Matching - Closest-Pair and Convex-Hull Problems - Exhaustive Search - Travelling Salesman Problem - Knapsack Problem - Assignment problem. Analysis Framework – Empirical analysis - Mathematical analysis for Recursive and Non-recursive algorithms - Visualization. Notion of an Algorithm – Fundamentals of Algorithmic Problem Solving – Important Problem Types – Fundamentals of the Analysis of Algorithmic Efficiency –Asymptotic Notations and their properties.

Cy8151 rejinpaul important questions