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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. Lower - Bound Arguments - P, NP NP- Complete and NP Hard Problems. 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. CS8451 Design and Analysis of Algorithms Important Questions April May 2019 Exam May 14, 2019. This year also our service continues for the Students. 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. Provides Important Questions for all departments every year. Divide and Conquer Methodology - Binary Search - Merge sort - Quick sort - Heap Sort - Multiplication of Large Integers - Closest-Pair and Convex - Hull Problems. Analysis Framework - Empirical analysis - Mathematical analysis for Recursive and Non-recursive algorithms - Visualization 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. Notion of an Algorithm - Fundamentals of Algorithmic Problem Solving - Important Problem Types - Fundamentals of the Analysis of Algorithmic Efficiency –Asymptotic Notations and their properties.