**by Jeff Erickson**

DescriptionTable of ContentsDetailsHashtagsReport an issue ### Book Description

Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old as mathematics itself. This book is a wide-ranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and the problem-solving process. The book includes important classical examples, hundreds of battle-tested exercises, far too many historical digressions, and exaclty four typos. Jeff Erickson is a computer science professor at the University of Illinois, Urbana-Champaign; this book is based on algorithms classes he has taught there since 1998. ### Table of Contents

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This open book is licensed under a Creative Commons License (CC BY). You can download Algorithms ebook for free in PDF format (25.7 MB).

Chapter 1

Recursion

Chapter 2

Backtracking

Chapter 3

Dynamic Programming

Chapter 4

Greedy Algorithms

Chapter 5

Basic Graph Algorithms

Chapter 6

Depth-First Search

Chapter 7

Minimum Spanning Trees

Chapter 8

Shortest Paths

Chapter 9

All-Pairs Shortest Paths

Chapter 10

Maximum Flows & Minimum Cuts

Chapter 11

Applications of Flows and Cuts

Chapter 12

NP-Hardness

Subject

Computer Science

Publisher

Self-publishing

Published

2019

Pages

472

Edition

1

Language

English

ISBN13 Digital

9781792644832

ISBN10 Digital

1792644833

PDF Size

25.7 MB

License

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