Free Download The Algorithm Design Manual 3rd Edition Book in PDF written by Steven S. Skiena (Department of Computer Science Stony Brook University, Stony Brook, NY, USA) and Published by Springer.
According to the Author, “Many professional programmers are not well prepared to tackle algorithm design problems. This is a pity, because the techniques of algorithm design form one of the core practical technologies of computer science. This book is intended as a manual on algorithm design, providing access to combinatorial algorithm technology for both students and computer professionals. It is divided into two parts: Techniques and Resources. The former is a general introduction to the design and analysis of computer algorithms. The Resources section is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography.
Equally important is what is not done in this book. I do not stress the mathematical analysis of algorithms, leaving most of the analysis as informal arguments. You will not find a single theorem anywhere in this book. When more details are needed, the reader should study the cited programs or references. The goal of this manual is to get you going in the right direction as quickly as possible.
This book covers enough material for a standard Introduction to Algorithms course. It is assumed that the reader has completed the equivalent of a second programming course, typically titled Data Structures or Computer Science II. A full set of lecture slides for teaching this course are available online at www.algorist.com. Further, I make available online video lectures using these slides to teach a full-semester algorithm course. Let me help teach your course, through the magic of the Internet!
Table of Contents
- Introduction to Algorithm Design
- Algorithm Analysis
- Data Structures
- Divide and Conquer
- Hashing and Randomized Algorithms
- Graph Traversal
- Weighted Graph Algorithms
- Combinatorial Search
- Dynamic Programming
- Dealing with Hard Problems
- How to Design Algorithms
- Catalog of Algorithmic Problems
- Data Structures
- Numerical Problems
- Combinatorial Problems
- Graph Problems: Polynomial Time
- Graph Problems: NP-Hard
- Computational Geometry
- Set and String Problems
- Algorithmic Resources
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