
- 178 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the material covered in the text or introduce new algorithms not covered there. The book also provides programming projects.
From the Table of Contents:
Chapter 1: Basic knowledge of Mathematics, Relations, Recurrence relation and Solution techniques, Function and Growth of functions.
Chapter 2: Different Sorting Techniques and their analysis.
Chapter 3: Greedy approach, Dynamic Programming, Branch and Bound techniques, Backtracking and Problems, Amortized analysis, and Order Statics.
Chapter 4: Graph algorithms, BFS, DFS, Spanning Tree, Flow Maximization Algorithms. Shortest Path Algorithms.
Chapter 5: Binary search tree, Red black Tree, Binomial heap, B-Tree and Fibonacci Heap.
Chapter 6: Approximation Algorithms, Sorting Networks, Matrix operations, Fast Fourier Transformation, Number theoretic Algorithm, Computational geometry Randomized Algorithms, String matching, NP-Hard, NP-Completeness, Cooks theorem.
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Information
Chapter 1 Introduction
1.1 Algorithm

1.2 Another definition
- Input: Zero or more quantities must be passed externally as input to algorithm.
- Outp...
Table of contents
- Title Page
- Copyright
- Contents
- Chapter 1 Introduction
- Chapter 2 Sorting techniques
- Chapter 3 Algorithm design techniques
- Chapter 4 Advanced graph algorithm
- Chapter 5 Number theory, classification of problems, and random algorithms
- Chapter 6 Tree and heaps
- Chapter 7 Lab session
- Index
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