FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World


 Title: Lecture Notes for the Algorithms
 Author(s) Jeff Erickson
 Publisher: Independently published (June 13, 2019); eBook (Creative Commons Licensed, 2019)
 License(s): CC BY 4.0
 Paperback: 472 pages
 eBook: HTML and PDF files
 Language: English
 ISBN10: 1792644833
 ISBN13: 9781792644832
 Share This:
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 textbook is a wideranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and the problemsolving process. The book includes important classical examples, hundreds of battletested exercises, far too many historical digressions, and exaclty four typos.
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. This lecture notes uniquely combines rigor and comprehensiveness.
It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively selfcontained and can be used as a unit of study.
The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.
Jeff Erickson wrote: These are lecture notes that I wrote for various algorithms classes at the University of Illinois at UrbanaChampaign, which I have taught on average once a year since January 1999.
Whenever I teach an algorithms class, I revise, update, and sometimes cull these notes as the course progresses, so you may find more recent versions on the web page of whatever course I am currently teaching.
About the Authors Jeff Erickson is a computer science professor at the University of Illinois, UrbanaChampaign; this book is based on algorithms classes he has taught there since 1998.
 Algorithms and Data Structures
 Graph Theory
 Computational and Algorithmic Mathematics
 Computational Complexity
 Discrete Mathematics
 Lecture Notes for the Algorithms (Jeff Erickson)
 The Mirror Site (1)  PDF
 The Mirror Site (2)  PDF

Algorithms, 4th Edition, by Robert Sedgewick and Kevin Wayne
It surveys the most important algorithms and data structures in use today. Applications to science, engineering, and industry are a key feature of the book. We motivate each algorithm that we address by examining its impact on specific applications.

Algorithm Design (Jon Kleinberg, et al)
This book introduces algorithms by looking at the realworld problems that motivate them. The book teaches a range of design and analysis techniques for problems that arise in computing applications.

Algorithms: Fundamental Techniques (Macneil Shonle, et al)
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 wellknown algorithms are also looked at in depth.

Elementary Algorithms (Xinyu Liu)
This book doesn't only focus on an imperative (or procedural) approach, but also includes purely functional algorithms and data structures. It teaches you how to think like a programmer  find the practical efficiency algorithms to solve your problems.

Algorithms and Data Structures (Niklaus Wirth)
From the inventor of Pascal and Modula2 comes a new version of Niklaus Wirth's classic work, Algorithms + Data Structure = Programs (PH, l975). It includes new material on sequential structure, searching and priority search trees.

The Algorithm Design Manual (Steven S. Skiena)
This book serves as the primary textbook for any algorithm design course while maintaining its status as the premier practical reference guide to algorithms, intended as a manual on algorithm design for both students and computer professionals.

Introduction to Design Analysis of Algorithms (K. Raghava Rao)
This book was very useful to easily understand the algorithms. This book is having enough examples on every algorithm. It has written for the sake of students to provide complete knowledge on Algorithms.

The Design of Approximation Algorithms (D. P. Williamson)
This book shows how to design approximation algorithms: efficient algorithms that find provably nearoptimal solutions, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization, etc.
:






















