This chapter includes topics such as, General method of divide and conquer, Design and analysis of various problems such as Merge sort, Quick sort, Binary search, Defective chess board, Multiplication of two large numbers, Strassen’s matrix multiplication

This chapter includes various topics such as , The general method of greedy technique to solve problems such as Knapsack problem , Job sequencing with deadlines, Single source shortest paths-dijkstra's algorithm, Minimum cost spanning trees:Prim’s algorithm, Kruskal’s algorithm

This chapter includes topics such as: General method of solving problem using dynamic programming, Computing binomial co-efficient, Warshall’s Algorithm, Floyd’s Algorithm (All pairs shortest path problem), 0/1 Knapsack Problem and Memory functions, Single-Source Shortest Paths: General Weights, Traveling salesperson problem

This chapter includes topics such as: Concept of Decrease and Conquer Technique, Decrease by constant, Decrease by constant factor, Variable size decrease, Insertion sort, Graph Traversals: Depth-First Search (DFS), Analysis of DFS, Breadth-First Search (BFS), Analysis of BFS, Applications of graph traversals, Topological Sorting Using DFS algorithm and Source removal algorithm

This chapter includes topics such as: • Sorting by Counting, Comparison counting sort, Distribution counting sort, Input Enhancement in string matching, Horspool’s Algorithm, Boyer-Moore Algorithm

This chapter includes topics such as: Backtracking, n – queen’s problem, Hamiltonian circuit problem, Sum of subset problem, Branch and bound, Assignment Problem, Knapsack Problem, Traveling Salesperson Problem. Approximate algorithms for NP-Hard , Traveling Salesperson Problem, Knapsack Problem

This chapter includes topics such as: Introduction to parallel algorithms, Computational Model, Parallel Algorithms for: Prefix Computation, List Ranking. Graph Problems

Pages: 14

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