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

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Princeton University Press, Jan 3, 2012 - Computers - 219 pages

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.

 

Contents

What Are the Extraordinary Ideas Computers Use Every Day?
1
Finding Needles in the Worlds Biggest Haystack
10
The Technology That Launched Google
24
Sending Secrets on a Postcard
38
Mistakes That Fix Themselves
60
Learning from Experience
80
Something for Nothing
105
The Quest for Consistency
122
Who Really Wrote This Software?
149
Chapter 10 What Is Computable?
174
More Genius at Your Fingertips?
199
Acknowledgments
205
Sources and Further Reading
207
Index
211
Copyright

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About the author (2012)

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.

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