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Feynman lectures on computation

著者: Richard P Feynman; Anthony J G Hey; Robin W Allen
出版商: Reading, Mass. : Addison-Wesley, ©1996.
版本/格式:   图书 : 英语查看所有的版本和格式
数据库:WorldCat
提要:
From 1983 to 1986, the legendary physicist and teacher Richard Feynman gave a course at Caltech called "Potentialities and Limitations of Computing Machines." Although the lectures are over ten years old, most of the material is timeless and presents a "Feynmanesque" overview of many standard and some not-so-standard topics in computer science. These include compatibility, Turing machines (or as Feynman said, "Mr.
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附加的形体格式: Online version:
Feynman, Richard Phillips.
Feynman lectures on computation.
Reading, Mass. : Addison-Wesley, c1996
(OCoLC)605107107
文件类型:
所有的著者/提供者: Richard P Feynman; Anthony J G Hey; Robin W Allen
ISBN: 0201489910 9780201489910
OCLC号码: 34984151
描述: xiv, 303 p. : ill. ; 24 cm.
内容: Preface / Richard Feynman --
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. Physical Aspects of Computation --
Afterword: Memories of Richard Feynman.
责任: Richard P. Feynman ; edited by Anthony J.G. Hey and Robin W. Allen.
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摘要:

From 1983 to 1986, the legendary physicist and teacher Richard Feynman gave a course at Caltech called "Potentialities and Limitations of Computing Machines." Although the lectures are over ten years old, most of the material is timeless and presents a "Feynmanesque" overview of many standard and some not-so-standard topics in computer science. These include compatibility, Turing machines (or as Feynman said, "Mr. Turing's machines"), information theory, Shannon's Theorem, reversible computation, the thermodynamics of computation, the quantum limits to computation, and the physics of VLSI devices. Taken together, these lectures represent a unique exploration of the fundamental limitations of digital computers.

Feynman's philosophy of learning and discovery comes through strongly in these lectures. He constantly points out the benefits of playing around with concepts and working out solutions to problems on your own - before looking at the back of the book for the answers. As Feynman says in the lectures: "If you keep proving stuff that others have done, getting confidence, increasing the complexities of your solutions - for the fun of it - then one day you'll turn around and discover that nobody actually did that one! And that's the way to become a computer scientist."

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