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About Analysis and Design of Algorithm Lecture Notes
This document introduces a course on design and analysis of algorithms. The objectives are to introduce fundamental data structures, mathematical foundations for analysis, techniques for algorithm analysis and design. Topics covered include mathematical tools, complexity analysis, paradigms like divide and conquer, greedy, dynamic programming, and graph algorithms. Evaluation is based on assignments, midterms, and a final exam. Algorithms are defined as finite sets of instructions to solve problems. Properties like definiteness, finiteness, correctness, and effectiveness are discussed. Ways of expressing algorithms and the random access machine model are introduced. Best, worst, and average complexity cases are defined. Examples include algorithms to find the nth Fibonacci number recursively and iteratively. Exercises on
Detailed Information
| Author: | ['Efrain Sanjay Adhikary'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 337 |
| Language: | English |
| Format: | |
| Price: | FREE |
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