Techniques for Designing and Analyzing Algorithms
Douglas R. Stinson
- 440 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Techniques for Designing and Analyzing Algorithms
Douglas R. Stinson
About This Book
Techniques for Designing and Analyzing Algorithms
Design and analysis of algorithms can be a difficult subject for students due to its sometimes-abstract nature and its use of a wide variety of mathematical tools. Here the author, an experienced and successful textbook writer, makes the subject as straightforward as possible in an up-to-date textbook incorporating various new developments appropriate for an introductory course.
This text presents the main techniques of algorithm design, namely, divide-and-conquer algorithms, greedy algorithms, dynamic programming algorithms, and backtracking. Graph algorithms are studied in detail, and a careful treatment of the theory of NP-completeness is presented.
In addition, the text includes useful introductory material on mathematical background including order notation, algorithm analysis and reductions, and basic data structures. This will serve as a useful review and reference for students who have covered this material in a previous course.
Features
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- The first three chapters provide a mathematical review, basic algorithm analysis, and data structures
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- Detailed pseudocode descriptions of the algorithms along with illustrative algorithms are included
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- Proofs of correctness of algorithms are included when appropriate
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- The book presents a suitable amount of mathematical rigor
After reading and understanding the material in this book, students will be able to apply the basic design principles to various real-world problems that they may encounter in their future professional careers.
Frequently asked questions
Information
Chapter 1
Introduction and Mathematical Background
In this chapter, we discuss mathematical background, including terminology and basic concepts relating to algorithms, order notation (to specify the complexity of algorithms) and various relevant mathematical formulae. Finally, we provide a brief introduction to probability theory and the use of random variables. This chapter can be considered as a review or reference for readers familiar with this background material.