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Feynman Lectures on Computation: Anniversary - Hardcover, by Hey Tony - New h
US $185.28
ApproximatelyS$ 237.68
Condition:
Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
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Located in: Philadelphia, Pennsylvania, United States
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eBay item number:126236458849
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Feynman Lectures on Computation: Anniversary Edition (Frontiers i
- ISBN
- 9781032415888
About this product
Product Identifiers
Publisher
Taylor & Francis Group
ISBN-10
1032415886
ISBN-13
9781032415888
eBay Product ID (ePID)
5058376455
Product Key Features
Number of Pages
402 Pages
Language
English
Publication Name
Feynman Lectures on Computation : Anniversary Edition
Publication Year
2023
Subject
General, Physics / General
Type
Textbook
Subject Area
Mathematics, Science
Series
Frontiers in Physics Ser.
Format
Hardcover
Dimensions
Item Weight
28.3 Oz
Item Length
9 in
Item Width
6 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2022-046479
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
004
Table Of Content
- Foreword by Bill Gates - Editor's Preface - Feynman's Preface - Author and Editor Biographies - Contributors 1. Introduction to Computers 2. Computer Organization 3. The Theory of Computation 4. Coding and Information Theory 5. Reversible Computation and the Thermodynamics of Computing 6. Quantum Mechanical Computers 7. Quantum Computing 40 Years Later 8. Physical Aspects of Computation 9: The Future of Computing Beyond Moore's Law 10. Feynman on Artificial Intelligence and Machine Learning 11. Reminiscences 12. Afterword 13. Suggested Reading 13. Index
Synopsis
The last lecture course that Nobel Prize winner Richard P. Feynman gave to students at Caltech from 1983 to 1986 was not on physics but on computer science. The first edition of the Feynman Lectures on Computation , published in 1996, provided an overview of standard and not-so-standard topics in computer science given in Feynman's inimitable style. Although now over 20 years old, most of the material is still relevant and interesting, and Feynman's unique philosophy of learning and discovery shines through. For this new edition, Tony Hey has updated the lectures with an invited chapter from Professor John Preskill on "Quantum Computing 40 Years Later". This contribution captures the progress made toward building a quantum computer since Feynman's original suggestions in 1981. The last 25 years have also seen the "Moore's law" roadmap for the IT industry coming to an end. To reflect this transition, John Shalf, Senior Scientist at Lawrence Berkeley National Laboratory, has contributed a chapter on "The Future of Computing beyond Moore's Law". The final update for this edition is an attempt to capture Feynman's interest in artificial intelligence and artificial neural networks. Eric Mjolsness, now a Professor of Computer Science at the University of California Irvine, was a Teaching Assistant for Feynman's original lecture course and his research interests are now the application of artificial intelligence and machine learning for multi-scale science. He has contributed a chapter called "Feynman on Artificial Intelligence and Machine Learning" that captures the early discussions with Feynman and also looks toward future developments. This exciting and important work provides key reading for students and scholars in the fields of computer science and computational physics., The first edition of this book published in 1996 and provided an overview of standard and not-so-standard topics in computer science given in Richard P. Feynman's inimitable style. For this new edition, Tony Hey has updated the lectures with invited chapters from preeminient scholars in the field.
LC Classification Number
QA76.F45 2023
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