This book is about the creation and analysis of efficient algorithms. After introducing some necessary matical background this book covers:
The goal of the book is to show you how you can methodically apply different techniques to your own algorithms to make them more efficient. While this book mostly highlights general techniques, some well-known algorithms are also looked at in depth. This book is written so it can be read from "cover to cover" in the length of a semester, where sections marked with a * may be skipped.
Pages : | N/A |
Size : | HTML and PDF |
File type : | |
Downloads: | 37 |
Created: | 2020-08-27 |
License: | CC BY-SA 3.0 |
Author(s): | Macneil Shonle, Matthew Wilson, Martin Krischik |
Problem Solving with Algorithms and Data Structures Using Python
Data Mining and Analysis: Fundamental Concepts and Algorithms
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