Algorithms Illuminated Part 1

Algorithms Illuminated  Part 1
Author: Tim Roughgarden
Publsiher: Unknown
Total Pages: 218
Release: 2017-09-27
Genre: Computer algorithms
ISBN: 0999282905

Download Algorithms Illuminated Part 1 Book in PDF, Epub and Kindle

Algorithms Illuminated is an accessible introduction to algorithms for anyone with at least a little programming experience, based on a sequence of popular online courses. Part 1 covers asymptotic analysis and big-O notation, divide-and-conquer algorithms, randomized algorithms, and several famous algorithms for sorting and selection.

Algorithms Illuminated Part 3

Algorithms Illuminated  Part 3
Author: Tim Roughgarden
Publsiher: Unknown
Total Pages: 230
Release: 2019-05-09
Genre: Computers
ISBN: 0999282948

Download Algorithms Illuminated Part 3 Book in PDF, Epub and Kindle

Accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Part 3 covers greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, shortest paths, optimal search trees).

Algorithms Illuminated

Algorithms Illuminated
Author: Tim Roughgarden
Publsiher: Unknown
Total Pages: 209
Release: 2018
Genre: Electronic Book
ISBN: 099928293X

Download Algorithms Illuminated Book in PDF, Epub and Kindle

Beyond the Worst Case Analysis of Algorithms

Beyond the Worst Case Analysis of Algorithms
Author: Tim Roughgarden
Publsiher: Cambridge University Press
Total Pages: 705
Release: 2021-01-14
Genre: Computers
ISBN: 9781108494311

Download Beyond the Worst Case Analysis of Algorithms Book in PDF, Epub and Kindle

Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

Algorithms Illuminated Part 4

Algorithms Illuminated  Part 4
Author: Tim Roughgarden
Publsiher: Unknown
Total Pages: 272
Release: 2020-07-20
Genre: Computers
ISBN: 0999282964

Download Algorithms Illuminated Part 4 Book in PDF, Epub and Kindle

Algorithms Part II

Algorithms  Part II
Author: Robert Sedgewick,Kevin Wayne
Publsiher: Addison-Wesley Professional
Total Pages: 971
Release: 2014-02-01
Genre: Computers
ISBN: 9780133847260

Download Algorithms Part II Book in PDF, Epub and Kindle

This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Twenty Lectures on Algorithmic Game Theory

Twenty Lectures on Algorithmic Game Theory
Author: Tim Roughgarden
Publsiher: Cambridge University Press
Total Pages: 357
Release: 2016-09-01
Genre: Computers
ISBN: 9781316782095

Download Twenty Lectures on Algorithmic Game Theory Book in PDF, Epub and Kindle

Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.

The Constitution of Algorithms

The Constitution of Algorithms
Author: Florian Jaton
Publsiher: MIT Press
Total Pages: 401
Release: 2021-04-27
Genre: Computers
ISBN: 9780262542142

Download The Constitution of Algorithms Book in PDF, Epub and Kindle

A laboratory study that investigates how algorithms come into existence. Algorithms--often associated with the terms big data, machine learning, or artificial intelligence--underlie the technologies we use every day, and disputes over the consequences, actual or potential, of new algorithms arise regularly. In this book, Florian Jaton offers a new way to study computerized methods, providing an account of where algorithms come from and how they are constituted, investigating the practical activities by which algorithms are progressively assembled rather than what they may suggest or require once they are assembled.