Langue: anglais
Edité par Prentice Hall, Inc., Englewood Cliffs, New Jersey, 1981
ISBN 10 : 0133512479 ISBN 13 : 9780133512472
Vendeur : About Books, Henderson, NV, Etats-Unis
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Ajouter au panierHardcover. Etat : Black cloth. Etat de la jaquette : No Dust Jacket. Seventh Printing of the 1976 original. Englewood Cliffs, New Jersey: Prentice Hall, Inc., 1981. 7" wide by 10" tall. Near Fine condition. Clean, square, tight, and unmarked. No remainder mark. No underlining. No highlighting. No margin notes. Appendices. Index. Seventh Printing of the 1976 original. Hardcover. Black cloth/No Dust Jacket. 244pp.
Langue: anglais
Edité par Prentice-Hall, Englewood Cliffs, NJ, 1982
Vendeur : Shady Grove Book Store, West Branch, MI, Etats-Unis
EUR 13,53
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Ajouter au panierHardcover. Etat : Near Fine. Etat de la jaquette : Very Good. Book condition is Near Fine. Clean & crisp. Bright & tight. Appears unread. DJ condition is Very Good, with light edge wear. 1982 hard cover. 244 pages.
EUR 19,60
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Ajouter au panierPaperback. Etat : Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Edité par Media Sight Publications, Athens, OH, 1983
Vendeur : biblioboy, North Providence, RI, Etats-Unis
Edition originale
EUR 9,02
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Ajouter au panierpaperback. Etat : Near Fine. First Edition. Athens, OH: Media Sight Publications. Near Fine. 1983. First Edition. Softcover. First edition. Magazine. Oversize [about 8.5" x 10.5"] pictorial wrappers, saddle-stapled, last numbered page is 75, illustrated. Near Fine or better copy. mag9.
Edité par Robert Schutt, Mitchell, South Dakota, 1976
Vendeur : Pensees Bookshop, Charleston, IL, Etats-Unis
EUR 13,53
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Ajouter au panierSoft cover. Etat : Very Good. Crisp pamphlet with only the slightest bit of shelfwear. Clean pages. 16pp.
Edité par Media Sight Publications
Vendeur : Biblio Pursuit, Lenhartsville, PA, Etats-Unis
EUR 11,52
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Ajouter au panierPaperback. Etat : Like New. Media Sight Publications. Paperback. Like New.
Edité par Mid-Peninsula Conversion Project Mountain View, CA nd (1978), 1978
Vendeur : Bear Bookshop, John Greenberg, Brattleboro, VT, Etats-Unis
EUR 15,57
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Ajouter au panier69pp. 4to Illustrated in black and white Orange wrappers (paperback) Light cover soil, top corner lightly creased: VG.
Langue: anglais
Edité par Yale University Press, for the National Gallery of Canada in Ottawa and for the Stadel Museum in Frankfurt am Main, New Haven, Connecticut / London, England, 2021
ISBN 10 : 0300249934 ISBN 13 : 9780300249934
Vendeur : Andover Books and Antiquities, Andover, MA, Etats-Unis
EUR 36,09
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Ajouter au panierHardcover. Etat : Very good condition. 379 pp. Published in conjunction with the exhibition: National Gallery of Art in Ottawa, 14 May - 6 September 2021; Stadel Museum in Frankfurt am Main, 6 October 2021 - 30 January 2022.
Langue: anglais
Edité par Prentice-Hall, Englewood Cliffs, 1977
ISBN 10 : 0133512479 ISBN 13 : 9780133512472
Vendeur : Yushodo Co., Ltd., Fuefuki-shi, Yamanashi Pref., Japon
Membre d'association : ILAB
EUR 22,13
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Ajouter au panierHardcover. Etat : Good. 244 p., 2nd Printing.
Langue: anglais
Edité par National Gallery of Canada, 2021
ISBN 10 : 0300249934 ISBN 13 : 9780300249934
Vendeur : Aragon Books Canada, OTTAWA, ON, Canada
EUR 49,62
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Ajouter au panierHardcover. Etat : New.
Vendeur : Basi6 International, Irving, TX, Etats-Unis
EUR 82,95
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Ajouter au panierEtat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 105,88
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 108,27
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Ajouter au panierEtat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 98,59
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Ajouter au panierEtat : New. In.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 95,84
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Ajouter au panierPF. Etat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 98,57
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Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 110,38
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 134,74
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Ajouter au panierEtat : New. pp. 490.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Ajouter au panierEtat : New. pp. 490.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. 467 pages. 9.00x6.00x1.00 inches. In Stock.
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Ajouter au panierTaschenbuch. Etat : Neu. Machine Learning Meets Quantum Physics | Kristof T. Schütt (u. a.) | Taschenbuch | Lecture Notes in Physics | xvi | Englisch | 2020 | Springer | EAN 9783030402440 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Langue: anglais
Edité par Springer International Publishing, 2020
ISBN 10 : 3030402444 ISBN 13 : 9783030402440
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 96,29
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the ability to calculate accurate microscopic properties, such as energies, forces and electrostatic multipoles of specific configurations, as well as efficient sampling of potential energy surfaces to obtain corresponding macroscopic properties. Tools that can provide this are accurate first-principles calculations rooted in quantum mechanics, and statistical mechanics, respectively. Unfortunately, they come at a high computational cost that prohibits calculations for large systems and long time-scales, thus presenting a severe bottleneck both for searching the vast chemical compound space and the stupendously many dynamical configurations that a molecule can assume.To overcome this challenge, recently there have been increased efforts to accelerate quantum simulations with machine learning (ML). This emerging interdisciplinary community encompasses chemists, material scientists, physicists, mathematicians and computer scientists, joining forces to contribute to the exciting hot topic of progressing machine learning and AI for molecules and materials.The book that has emerged from a series of workshops provides a snapshot of this rapidly developing field. It contains tutorial material explaining the relevant foundations needed in chemistry, physics as well as machine learning to give an easy starting point for interested readers. In addition, a number of research papers defining the current state-of-the-art are included. The book has five parts (Fundamentals, Incorporating Prior Knowledge, Deep Learning of Atomistic Representations, Atomistic Simulations and Discovery and Design), each prefaced by editorial commentary that puts the respective parts into a broader scientific context.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Ajouter au panierPaperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Ajouter au panierHardcover. Etat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 62,26
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Ajouter au panierEtat : New.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 47,95
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Diplomarbeit aus dem Jahr 2009 im Fachbereich Sport - Sportökonomie, Sportmanagement, Note: 2,3, Universität Bayreuth, Sprache: Deutsch, Abstract: panem et circenses - 'Brot und Spiele'. Nach dieser Formel regierten die römischen Cäsaren vor mehr als 2000 Jahren. Sie sicherten die politische Stabilität und damit ihre Herrschaft, indem sie das Volk durch Unterhaltung und Zerstreuung ruhig stellten (Weber, 1989, S. 12). Insbesondere die unteren Schichten sollten durch die Spiele in Amphitheatern oder Zirkusbauten von ihrer eigentlich prekären Situation abgelenkt werden. Andernfalls hätten sich die Emotionen dieser Menschen wahrscheinlich gegen die Regierung gerichtet und nicht bei Massenunterhaltungen entladen (Inden, 1993, S. 13). Das gesellschaftliche Verlangen nach Erlebnissen und Vergnügen, das die römischen Kaiser bedienten, ist jedoch keine Erscheinung der Antike. In der Gegenwart bieten Olympische Spiele, Autorennen oder Fußballmeisterschaften Unterhaltung und Zerstreuung für breite Bevölkerungsschichten. Sie sind somit als aktuelle Pendants zu Gladiatorenkämpfen, Jagdfesten oder Mittelalterspielen anzusehen (z.B. Inden, 1993, S. 12f.; Riedmüller, 2001, S. 267; Weber, 1989, S. 11f.). Im Gegensatz zur Vergangenheit haben sich allerdings die Inhalte und die mit den Veranstaltungen verbundenen Intentionen und Akteure verändert. Heute bietet der Sport und die Sportgroßveranstaltungen (SGV), als neuzeitliche Version früherer Spiele, ein attraktives Angebot für die erlebnisorientierte Freizeitgestaltung (Linsinger, 2006, o. S). Im Vergleich zu den Veranstaltungen der Historie kommt Sport gegenwärtig eine größere Bedeutung zu und dient mehr als der bloßen Unterhaltung. Er ist zum gesellschaftlichen Massenphänomen mit einem enorm hohen Stellenwert geworden. 'Meinungsforscher behaupten, hierzulande seien mehr Menschen an Sport als an Politik interessiert' (Pleitgen, 2000, S. 1). Erklärungen und Gründe für diese Entwicklung des Sports - von der reinen Körperertüchtigung zum Gesellschaftsphänomen - sowie seine Bedeutungszunahme lassen sich in verschiedenen Wissenschaftsdisziplinen finden.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 78,24
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer International Publishing Jun 2020, 2020
ISBN 10 : 3030402444 ISBN 13 : 9783030402440
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 96,29
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the ability to calculate accurate microscopic properties, such as energies, forces and electrostatic multipoles of specific configurations, as well as efficient sampling of potential energy surfaces to obtain corresponding macroscopic properties. Tools that can provide this are accurate first-principles calculations rooted in quantum mechanics, and statistical mechanics, respectively. Unfortunately, they come at a high computational cost that prohibits calculations for large systems and long time-scales, thus presenting a severe bottleneck both for searching the vast chemical compound space and the stupendously many dynamical configurations that a molecule can assume.To overcome this challenge, recently there have been increased efforts to accelerate quantum simulations with machine learning (ML). This emerging interdisciplinary community encompasses chemists, material scientists, physicists, mathematicians and computer scientists, joining forces to contribute to the exciting hot topic of progressing machine learning and AI for molecules and materials.The book that has emerged from a series of workshops provides a snapshot of this rapidly developing field. It contains tutorial material explaining the relevant foundations needed in chemistry, physics as well as machine learning to give an easy starting point for interested readers. In addition, a number of research papers defining the current state-of-the-art are included. The book has five parts (Fundamentals, Incorporating Prior Knowledge, Deep Learning of Atomistic Representations, Atomistic Simulations and Discovery and Design), each prefaced by editorial commentary that puts the respective parts into a broader scientific context. 484 pp. Englisch.
Langue: anglais
Edité par Springer International Publishing, 2020
ISBN 10 : 3030402444 ISBN 13 : 9783030402440
Vendeur : moluna, Greven, Allemagne
EUR 83,50
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Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an in-depth referenced work on the physics-based machine learning techniques that model electronic and atomistic properties of matterHighly interdisciplinary, it focuses on diverse fields of investigation such as physics, chemistry and ma.