Inhaltsangabe:
Unusual book
Críticas:
Honorable Mention for the 2012 Award for Best Professional/Scholarly Book in Computing & Information Sciences, Association of American Publishers
"Nine Algorithms That Changed the Future offers a great way to find out what computer science is really about. In this very readable book, MacCormick (a computer scientist at Dickinson College) shows how a collection of sets of intangible instructions invented since the 1940s has led to monumental changes in all our lives. . . . MacCormick provides a taste of why we computer scientists get so excited about algorithms--for their utility, of course, but also for their beauty and elegance."--Paul Curzon, Science
"MacCormick's book is an easy-to-read and enjoyable guide to some key algorithms. Above all, it conveys a sense of wonder--at the beautiful science, rather than the technical feats, that makes computers do their magic."--Andreas Trabesinger, Nature Physics
"Excellent. . . . MacCormick clearly believes that to be a responsible driver of current technology, you need to understand what is going on at the fundamental level. In addition, he wants us to take delight in the elegance of the solutions that have been developed to address complex questions of the security, integrity and availability of data and digital services. . . . This is an unusually well-written text suitable for anyone with an interest in how today's information systems really work."--John Gilbey, Times Higher Education
"Despite the widespread popular interest in computers, there are very few good, popular introductions to the central ideas of computer science. Nine Algorithms that Changed the Future is certainly one of the best that I have seen. . . . An extraordinary achievement in the daunting task of presenting computer science for a popular audience."--Ernest Davis, SIAM News
"Most people know little and care less about how, say, electronic payments are kept secure or how movies are crammed onto DVDs. But as MacCormick shows, they're the result of often stunning ingenuity and creativity. . . . For insights into the thinking that can turn gigabytes into gigabucks, start here."--Robert Matthews, BBC Focus
"[MacCormick] masterfully uses everyday analogies in a way that gets to the heart of the ideas (he calls them tricks) that make the algorithms work. While this is essential for readers without mathematical background, the other lesson that jumps out is that this is a great way to introduce these algorithms to mathematics and computer science students who will go on to more in-depth treatments. . . . This excellent survey is an outstanding achievement and would make an excellent library acquisition."--Art Gittleman, MAA Reviews
"MacCormick leaves the reader with a sense of the engine that powers the networked world. And at its best, Nine Algorithms enables you to recognise the real world and begin to see those algorithms alive and kicking all around us."--Kevin Slavin, New Scientist
"Nine Algorithms That Changed the Future is technically right on the money, but manages to explain things in ways that are both understandable and fun. . . . Each chapter starts out very simply, gradually building up more complex examples until you reach a full understanding of the algorithm being explained. . . . The writing is excellent: clear, precise, and fun. I highly recommend this book to anyone curious about the ingenious mathematical and algorithmic ideas underlying some of today's most ubiquitous technology."--Brent Yorgey, Math Less Traveled
"One of the best things about Nine Algorithms That Changed the Future is that it is of interest to computer professionals and innocent bystanders (non-professionals) alike. The author doesn't attempt to 'baffle us with science' or blow us away with his mathematical prowess. Instead, he employs simple analogies that we can all understand. His use of mixing colored paints to explain the machinations of public key cryptography is, frankly, brilliant. . . . I highly recommend this book as a very enjoyable read that will be of interest to anyone who would like to understand more about the way in which the computer systems we use every day perform their magic."--Clive Maxfield, EE Times
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