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A Guide to Design and Analysis of Algorithms by Soubhik Chakraborty, Prashant Pranav, Naghma Khatoon, Sandip Dutta is a nonfiction available to read on EtoBox.
What is A Guide to Design and Analysis of Algorithms about?
Contents Preface Chapter 1 Introduction to the Design of Algorithms 1.1. Brute Force Approach 1.2. Divide and Conquer 1.3. Greedy Technique 1.4. Dynamic Programming 1.5. Branch and Bound 1.6. Randomized Algorithms 1.7. Backtracking Algorithm Chapter 2 Divide and Conquer 2.1. Recurrence Relation 2.2. Binary Search 2.3. Merge Sort Chapter 3 Greedy Algorithms 3.1. Job Sequencing Problem with Deadline 3.2. Dijkstra Algorithm Chapter 4 Dynamic Programming 4.1. Stagecoach Problem 4.2. Optimal Binary Search Tree (Optimal BST) 4.3. Subset Sum Problem 4.4. 0/1 Knapsack Problem Chapter 5 Backtracking 5.1. N – Queens Problem Chapter 6 Branch and Bound 6.1. Assignment Problem 6.1.1. Branch and Bound Technique to Solve Assignment Problem 6.2. O/1 Knapsack Problem 6.3. Travelling Salesman Problem Chapter 7 Introduction to the Analysis of Algorithms 7.1. Asymptotic Analysis 7.1.1. Big – Oh 7.1.2. Big - Omega 7.1.3. Theta 7.2. Empirical Analysis of Computer Algorithms: Why Statistics? 7.2.1. Computer Experiments and Algorithmic Complexity 7.2.2. Statistical (Complexity) Bound (Definition) Chapter 8 Randomized Algorithms 8.1. Randomized Quick Sort 8.2. Randomized Binary Search Chapter 9 Master The
Who reads A Guide to Design and Analysis of Algorithms?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Soubhik Chakraborty, Prashant Pranav, Naghma Khatoon, Sandip Dutta
- Publisher
- Nova Science Publishers
- Published
- 2023
- Language
- EN
- Category
- nonfiction
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