Computer ScienceScience & MathematicsEconomics & FinanceBusiness & ManagementPolitics & GovernmentHistoryPhilosophy

Algorithms

by Jeff Erickson

Algorithms

Subscribe to new books via dBooks.org telegram channel

Join
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.

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).

Table of Contents

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

Book Details

Title
Algorithms
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
CC BY

Related Books

Pro TBB
This book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel programming with TBB, offering their insights in an approachable manner. Throughout the book the authors present ...
Elements of Robotics
This book bridges the gap between playing with robots in school and studying robotics at the upper undergraduate and graduate levels to prepare for careers in industry and research. Robotic algorithms are presented formally, but using only mathematics known by high-school and first-year college students, such as calculus, matrices and probability. ...
Forecasting and Assessing Risk of Individual Electricity Peaks
The overarching aim of this book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples.In order to achieve carbon t...
Graph Algorithms
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world ...
Think Data Structures
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. By emphas...
Annotated Algorithms in Python
This book is assembled from lectures given by the author over a period of 10 years at the School of Computing of DePaul University. The lectures cover multiple classes, including Analysis and Design of Algorithms, Scientific Computing, Monte Carlo Simulations, and Parallel Algorithms. These lectures teach the core knowledge required by any scientis...