## Design & Analysis Of AlgorithmsConcepts of AlgorithmsNotion of algorithm, Fundamentals of algorithmic solving, Important problem types, Fundamentals of the analysis framework, Asymptotic notations and basic efficiency classes.Mathematical Aspects and Analysis of AlgorithmsMathematical analysis of non-recursive algorithm, Mathematical analysis of recursive algorithm, Example : Fibonacci numbers, Empirical analysis of algorithms, Algorithm visualization.Analysis of Sorting and Searching AlgorithmsBrute force, Selection sort and bubble sort, Sequential search and Brute force string matching, Divide and conquer, Merge sort, Quick sort, Binary search, Binary tree, Traversal and related properties, Decrease and conquer, Insertion sort, Depth first search and breadth first search.Algorithmic TechniquesTransform and conquer, Presorting, Balanced search trees, AVL trees, Heaps and Heap sort, Dynamic programming, Warshall's and Floyd's algorithm, Optimal binary search trees, Greedy techniques, Prim's algorithm, Kruskal's algorithm, Dijkstra's algorithm, Huffman trees.Algorithm Design Methods Backtracking, n-Queen's problem, Hamiltonian circuit problem, Subset-sum problem, Branch and bound, Assignment problem, Knapsack problem, Travelling salesman problem. |

### What people are saying - Write a review

User Review - Flag as inappropriate

super book

User Review - Flag as inappropriate

It's good......

### Contents

ChapteM Basic Concepts of Algorithm 1 1 to 1 | 1-1 |

Solved Exercise 2 40 | 2-40 |

Solved Exercise 3 28 | 3-28 |

Review Questions 3 34 | 3-34 |

Chapter5 Decrease and Conquer ? 51 to 552 | 5-3 |

Chapter6 Transform and Conquer 61 to 6 | 6-6 |

Chapter7 Dynamic Programming 7 1 to 7 56 | 7-3 |

Summary 744 | 10-7 |

Chapter10 Branch and Bound 101 to 1046 | 10 |

### Other editions - View all

### Common terms and phrases

adjacency matrix algorithmic visualization Analysis of Algorithms AVL tree backtracking basic operation binary search tree branch and bound Brute force bubble sort clrscr column complexity Consider decrease and conquer deletion disk divide and conquer dynamic programming efficiency Enter The Element equation executed Fibonacci number Floyd's algorithm formula getch graph Hamiltonian heap sort heapify Hence implementation inorder input insertion sort int high integer intermediate vertices Knapsack Kruskal's algorithm left child left sublist loop merge sort minimum spanning tree number of nodes obtained optimal binary search Output parent pivot Prim's algorithm printf printf("\n Enter Problem Description quick sort recursive algorithms right sublist rotation scanf selection sort solution solved sorted list sorting algorithm sorting method space tree Step shortest path sub problems subtree swap temp total number transform and conquer traversal vertex vertices vl vl & v2 void main weight worst