ISBN: 9780367857332 - feynman lectures on computation: anniversary edition (30 risultati)

Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Condizione: Good. 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. Feynmans inimitable style. For this new edition, Tony Hey has updated the lectures with invited chapters from preeminient scholars in the field.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: Good. 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. Feynmans inimitable style. For this new edition, Tony Hey has updated the lectures with invited chapters from preeminient scholars in the field.…

Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New.

Condizione: New.

Paperback. Condizione: New. The last lecture course that Nobel Prize winner Richard P. Feynman gaveto students at Caltech from 1983 to 1986 was not on physics but on computerscience. The first edition of the Feynman Lectures on Computation, publishedin 1996, provided an overview of standard and not-so-standard topics incomputer science given in Feynman's inimitable style. Although nowover 20 years old, most of the material is still relevant and interesting, andFeynman's unique philosophy of learning and discovery shines through.For this new edition, Tony Hey has updated the lectures with an invitedchapter from Professor John Preskill on "Quantum Computing 40 YearsLater". This contribution captures the progress made toward building aquantum computer since Feynman's original suggestions in 1981. The last25 years have also seen the "Moore's law" roadmap for the IT industrycoming to an end. To reflect this transition, John Shalf, Senior Scientistat Lawrence Berkeley National Laboratory, has contributed a chapteron "The Future of Computing beyond Moore's Law". The final updatefor this edition is an attempt to capture Feynman's interest in artificialintelligence and artificial neural networks. Eric Mjolsness, now a Professorof Computer Science at the University of California Irvine, was a TeachingAssistant for Feynman's original lecture course and his research interestsare now the application of artificial intelligence and machine learningfor multi-scale science. He has contributed a chapter called "Feynmanon Artificial Intelligence and Machine Learning" that captures the earlydiscussions with Feynman and also looks toward future developments.This exciting and important work provides key reading for students andscholars in the fields of computer science and computational physics.…

Paperback. Condizione: New. The last lecture course that Nobel Prize winner Richard P. Feynman gaveto students at Caltech from 1983 to 1986 was not on physics but on computerscience. The first edition of the Feynman Lectures on Computation, publishedin 1996, provided an overview of standard and not-so-standard topics incomputer science given in Feynman's inimitable style. Although nowover 20 years old, most of the material is still relevant and interesting, andFeynman's unique philosophy of learning and discovery shines through.For this new edition, Tony Hey has updated the lectures with an invitedchapter from Professor John Preskill on "Quantum Computing 40 YearsLater". This contribution captures the progress made toward building aquantum computer since Feynman's original suggestions in 1981. The last25 years have also seen the "Moore's law" roadmap for the IT industrycoming to an end. To reflect this transition, John Shalf, Senior Scientistat Lawrence Berkeley National Laboratory, has contributed a chapteron "The Future of Computing beyond Moore's Law". The final updatefor this edition is an attempt to capture Feynman's interest in artificialintelligence and artificial neural networks. Eric Mjolsness, now a Professorof Computer Science at the University of California Irvine, was a TeachingAssistant for Feynman's original lecture course and his research interestsare now the application of artificial intelligence and machine learningfor multi-scale science. He has contributed a chapter called "Feynmanon Artificial Intelligence and Machine Learning" that captures the earlydiscussions with Feynman and also looks toward future developments.This exciting and important work provides key reading for students andscholars in the fields of computer science and computational physics.…

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: New. 2023. 2nd Edition. Paperback. . . . . .

Condizione: New.

Condizione: New.

Condizione: New. 2023. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.

Condizione: NEW.

Paperback. Condizione: Brand New. 2nd anv edition. 392 pages. 9.00x6.00x1.26 inches. In Stock.

Condizione: New. 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.

Paperback. Condizione: New. The last lecture course that Nobel Prize winner Richard P. Feynman gaveto students at Caltech from 1983 to 1986 was not on physics but on computerscience. The first edition of the Feynman Lectures on Computation, publishedin 1996, provided an overview of standard and not-so-standard topics incomputer science given in Feynman's inimitable style. Although nowover 20 years old, most of the material is still relevant and interesting, andFeynman's unique philosophy of learning and discovery shines through.For this new edition, Tony Hey has updated the lectures with an invitedchapter from Professor John Preskill on "Quantum Computing 40 YearsLater". This contribution captures the progress made toward building aquantum computer since Feynman's original suggestions in 1981. The last25 years have also seen the "Moore's law" roadmap for the IT industrycoming to an end. To reflect this transition, John Shalf, Senior Scientistat Lawrence Berkeley National Laboratory, has contributed a chapteron "The Future of Computing beyond Moore's Law". The final updatefor this edition is an attempt to capture Feynman's interest in artificialintelligence and artificial neural networks. Eric Mjolsness, now a Professorof Computer Science at the University of California Irvine, was a TeachingAssistant for Feynman's original lecture course and his research interestsare now the application of artificial intelligence and machine learningfor multi-scale science. He has contributed a chapter called "Feynmanon Artificial Intelligence and Machine Learning" that captures the earlydiscussions with Feynman and also looks toward future developments.This exciting and important work provides key reading for students andscholars in the fields of computer science and computational physics.…

Taschenbuch. Condizione: Neu. Feynman Lectures on Computation | Anniversary Edition | Tony Hey | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | CRC Press | EAN 9780367857332 | Verantwortliche Person für die EU: Taylor and Francis, Taylor & Francis Verlag Gmbh, Kaufingerstr 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.…

Paperback. Condizione: New. The last lecture course that Nobel Prize winner Richard P. Feynman gaveto students at Caltech from 1983 to 1986 was not on physics but on computerscience. The first edition of the Feynman Lectures on Computation, publishedin 1996, provided an overview of standard and not-so-standard topics incomputer science given in Feynman's inimitable style. Although nowover 20 years old, most of the material is still relevant and interesting, andFeynman's unique philosophy of learning and discovery shines through.For this new edition, Tony Hey has updated the lectures with an invitedchapter from Professor John Preskill on "Quantum Computing 40 YearsLater". This contribution captures the progress made toward building aquantum computer since Feynman's original suggestions in 1981. The last25 years have also seen the "Moore's law" roadmap for the IT industrycoming to an end. To reflect this transition, John Shalf, Senior Scientistat Lawrence Berkeley National Laboratory, has contributed a chapteron "The Future of Computing beyond Moore's Law". The final updatefor this edition is an attempt to capture Feynman's interest in artificialintelligence and artificial neural networks. Eric Mjolsness, now a Professorof Computer Science at the University of California Irvine, was a TeachingAssistant for Feynman's original lecture course and his research interestsare now the application of artificial intelligence and machine learningfor multi-scale science. He has contributed a chapter called "Feynmanon Artificial Intelligence and Machine Learning" that captures the earlydiscussions with Feynman and also looks toward future developments.This exciting and important work provides key reading for students andscholars in the fields of computer science and computational physics.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The last lecture course that Nobel Prize winner Richard P. Feynman gaveto students at Caltech from 1983 to 1986 was not on physics but on computerscience. The first edition of the Feynman Lectures on Computation, publishedin 1996, provided an overview of standard and not-so-standard topics incomputer science given in Feynman's inimitable style. Although nowover 20 years old, most of the material is still relevant and interesting, andFeynman's unique philosophy of learning and discovery shines through.For this new edition, Tony Hey has updated the lectures with an invitedchapter from Professor John Preskill on 'Quantum Computing 40 YearsLater'. This contribution captures the progress made toward building aquantum computer since Feynman's original suggestions in 1981. The last25 years have also seen the 'Moore's law' roadmap for the IT industrycoming to an end. To reflect this transition, John Shalf, Senior Scientistat Lawrence Berkeley National Laboratory, has contributed a chapteron 'The Future of Computing beyond Moore's Law'. The final updatefor this edition is an attempt to capture Feynman's interest in artificialintelligence and artificial neural networks. Eric Mjolsness, now a Professorof Computer Science at the University of California Irvine, was a TeachingAssistant for Feynman's original lecture course and his research interestsare now the application of artificial intelligence and machine learningfor multi-scale science. He has contributed a chapter called 'Feynmanon Artificial Intelligence and Machine Learning' that captures the earlydiscussions with Feynman and also looks toward future developments.This exciting and important work provides key reading for students andscholars in the fields of computer science and computational physics. 428 pp. Englisch.…

Paperback. Condizione: Brand New. 2nd anv edition. 392 pages. 9.00x6.00x1.26 inches. In Stock. This item is printed on demand.

Paperback. Condizione: new. Paperback. The last lecture course that Nobel Prize winner Richard P. Feynman gaveto students at Caltech from 1983 to 1986 was not on physics but on computerscience. The first edition of the Feynman Lectures on Computation, publishedin 1996, provided an overview of standard and not-so-standard topics incomputer science given in Feynmans inimitable style. Although nowover 20 years old, most of the material is still relevant and interesting, andFeynmans unique philosophy of learning and discovery shines through.For this new edition, Tony Hey has updated the lectures with an invitedchapter from Professor John Preskill on Quantum Computing 40 YearsLater. This contribution captures the progress made toward building aquantum computer since Feynmans original suggestions in 1981. The last25 years have also seen the Moores law roadmap for the IT industrycoming to an end. To reflect this transition, John Shalf, Senior Scientistat Lawrence Berkeley National Laboratory, has contributed a chapteron The Future of Computing beyond Moores Law. The final updatefor this edition is an attempt to capture Feynmans interest in artificialintelligence and artificial neural networks. Eric Mjolsness, now a Professorof Computer Science at the University of California Irvine, was a TeachingAssistant for Feynmans original lecture course and his research interestsare now the application of artificial intelligence and machine learningfor multi-scale science. He has contributed a chapter called Feynmanon Artificial Intelligence and Machine Learning that captures the earlydiscussions with Feynman and also looks toward future developments.This exciting and important work provides key reading for students andscholars 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. Feynmans inimitable style. For this new edition, Tony Hey has updated the lectures with invited chapters from preeminient scholars in the field. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The last lecture course that Nobel Prize winner Richard P. Feynman gaveto students at Caltech from 1983 to 1986 was not on physics but on computerscience. The first edition of the Feynman Lectures on Computation, publishedin 1996, provided an overview of standard and not-so-standard topics incomputer science given in Feynman's inimitable style. Although nowover 20 years old, most of the material is still relevant and interesting, andFeynman's unique philosophy of learning and discovery shines through.For this new edition, Tony Hey has updated the lectures with an invitedchapter from Professor John Preskill on 'Quantum Computing 40 YearsLater'. This contribution captures the progress made toward building aquantum computer since Feynman's original suggestions in 1981. The last25 years have also seen the 'Moore's law' roadmap for the IT industrycoming to an end. To reflect this transition, John Shalf, Senior Scientistat Lawrence Berkeley National Laboratory, has contributed a chapteron 'The Future of Computing beyond Moore's Law'. The final updatefor this edition is an attempt to capture Feynman's interest in artificialintelligence and artificial neural networks. Eric Mjolsness, now a Professorof Computer Science at the University of California Irvine, was a TeachingAssistant for Feynman's original lecture course and his research interestsare now the application of artificial intelligence and machine learningfor multi-scale science. He has contributed a chapter called 'Feynmanon Artificial Intelligence and Machine Learning' that captures the earlydiscussions with Feynman and also looks toward future developments.This exciting and important work provides key reading for students andscholars in the fields of computer science and computational physics.…

Paperback. Condizione: new. Paperback. The last lecture course that Nobel Prize winner Richard P. Feynman gaveto students at Caltech from 1983 to 1986 was not on physics but on computerscience. The first edition of the Feynman Lectures on Computation, publishedin 1996, provided an overview of standard and not-so-standard topics incomputer science given in Feynmans inimitable style. Although nowover 20 years old, most of the material is still relevant and interesting, andFeynmans unique philosophy of learning and discovery shines through.For this new edition, Tony Hey has updated the lectures with an invitedchapter from Professor John Preskill on Quantum Computing 40 YearsLater. This contribution captures the progress made toward building aquantum computer since Feynmans original suggestions in 1981. The last25 years have also seen the Moores law roadmap for the IT industrycoming to an end. To reflect this transition, John Shalf, Senior Scientistat Lawrence Berkeley National Laboratory, has contributed a chapteron The Future of Computing beyond Moores Law. The final updatefor this edition is an attempt to capture Feynmans interest in artificialintelligence and artificial neural networks. Eric Mjolsness, now a Professorof Computer Science at the University of California Irvine, was a TeachingAssistant for Feynmans original lecture course and his research interestsare now the application of artificial intelligence and machine learningfor multi-scale science. He has contributed a chapter called Feynmanon Artificial Intelligence and Machine Learning that captures the earlydiscussions with Feynman and also looks toward future developments.This exciting and important work provides key reading for students andscholars 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. Feynmans inimitable style. For this new edition, Tony Hey has updated the lectures with invited chapters from preeminient scholars in the field. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…