Feynman Lectures on Computation

Tony Hey

ISBN 10: 0367857332 / ISBN 13: 9780367857332

Edité par Taylor & Francis Mai 2023, 2023

A propos de cet article

Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 401 pp. Englisch.

N° de réf. du vendeur 9780367857332

Détails bibliographiques

• Titre: Feynman Lectures on Computation
• Éditeur: Taylor & Francis Mai 2023
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 0367857332
• ISBN à 13 chiffres: 9780367857332
• Reliure: Taschenbuch
• Édition: Edition originale
• État de l'article: Neu

A propos de ce titre

Synopsis

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.

À propos de l?auteur

The late Richard P. Feynman was Richard Chace Tolman Professor of Theoretical Physics at the California Institute of Technology. He was awarded the Nobel Prize in 1965 for his work on the development of quantum electrodynamics, and made many other fundamental contributions to physics. What is less well-known is his contribution to computer science with his ideas about quantum computing. He was one of the most famous and beloved figures of the twentieth century, both in physics and in the public arena.

Tony Hey is Chief Data Scientist at the UK's Rutherford Appleton Laboratory at Harwell. After an academic career including Dean of Engineering at the University of Southampton in the UK, he became Director of the UK's pioneering eScience initiative. After 10 years as a Vice President in Microsoft Research in Redmond in the US, he returned to the UK and now leads a group applying Deep Learning neural networks to the analysis of experimental scientific data. He is also co-author of The Computing Universe: A Journey through a Revolution, a popular introduction to the development of computer science.