Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers

MacCormick, John

ISBN 10: 0691158193 / ISBN 13: 9780691158198

Published by Princeton University Press, 2013

About this Item

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Bibliographic Details

• Title: Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers
• Publisher: Princeton University Press
• Publication Date: 2013
• Language: English
• ISBN 10: 0691158193
• ISBN 13: 9780691158198
• Binding: Soft cover
• Edition: 4th Edition
• Condition: Good

About this title

Synopsis

Nine revolutionary algorithms that power our computers and smartphones

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease?

This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more.

These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

About the Author

John MacCormick is a leading researcher and teacher of computer science. He has a PhD in computer vision from the University of Oxford, has worked in the research labs of Hewlett-Packard and Microsoft, and is currently a professor of computer science at Dickinson College.