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1
Reduced Density Matrices: Coulson's Challenge (Lecture Notes in Chemistry, 72, Band 72) - Yukalov, V. l. Coleman, A. J.
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Yukalov, V. l. Coleman, A. J.:

Reduced Density Matrices: Coulson's Challenge (Lecture Notes in Chemistry, 72, Band 72) - Paperback

2008, ISBN: 9783540671480

Springer, Taschenbuch, Auflage: 2000, 300 Seiten, Publiziert: 2008-06-13T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: illustrations, 0.94 kg, Lexika, Hand- & Jahrbücher, Schule & Lerne… More...

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2
Reduced Density Matrices Coulson¿s Challenge - V. I. Yukalov, A. J. Coleman
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V. I. Yukalov, A. J. Coleman:

Reduced Density Matrices Coulson¿s Challenge - new book

2000, ISBN: 9783540671480

Kartoniert, 300 Seiten, 235mm x 155mm x 17mm, Sprache(n): eng The authors demonstrate that the essential information about order in, and energy levels of physical systems is encapsulated … More...

Shipping costs:Versandkostenfrei innerhalb der BRD. (EUR 0.00) MARZIES Buch- und Medienhandel, 14621 Schönwalde-Glien
3
Reduced Density Matrices: Coulson?s Challenge: 72 (Lecture Notes in Chemistry, 72) - Coleman, A.J. Yukalov, V.I.
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Coleman, A.J. Yukalov, V.I.:
Reduced Density Matrices: Coulson?s Challenge: 72 (Lecture Notes in Chemistry, 72) - Paperback

2000

ISBN: 9783540671480

Springer, Paperback, Auflage: 2000, 294 Seiten, Publiziert: 2000-04-14T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: illustrations, 0.42 kg, Special Features, Books, General Medical Iss… More...

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4
Reduced Density Matrices - A.J. Coleman V.I. Yukalov
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A.J. Coleman V.I. Yukalov:
Reduced Density Matrices - First edition

2000, ISBN: 9783540671480

Paperback

[ED: Kartoniert / Broschiert], [PU: Springer Berlin Heidelberg], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The authors demonstrate t… More...

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5
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Coleman, A.J.; Yukalov, V.I.:
Reduced Density Matrices: Coulson’s Challenge (Lecture Notes in Chemistry, - Paperback

2000, ISBN: 354067148X

[EAN: 9783540671480], Neubuch, [PU: Springer], Book is in NEW condition., Books

NEW BOOK. Shipping costs: EUR 18.45 GF Books, Inc., Hawthorne, CA, U.S.A. [64674448] [Rating: 5 (von 5)]

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Bibliographic data of the best matching book

Details of the book
Reduced Density Matrices: Coulson's Challenge (Lecture Notes in Chemistry, 72, Band 72)

The authors demonstrate that the essential information about order in, and energy levels of physical systems is encapsulated in the second order reduced density matrix. They have discovered an algorithm to obtain a reasonable accurate expression for the 2-matrix of an N-particle state to make nearly all properties of matter which are of interest to chemists and physicists accessible.

Details of the book - Reduced Density Matrices: Coulson's Challenge (Lecture Notes in Chemistry, 72, Band 72)


EAN (ISBN-13): 9783540671480
ISBN (ISBN-10): 354067148X
Hardcover
Paperback
Publishing year: 2007
Publisher: Springer
296 Pages
Weight: 0,447 kg
Language: eng/Englisch

Book in our database since 2007-04-16T05:30:01+01:00 (London)
Detail page last modified on 2024-04-05T18:43:31+01:00 (London)
ISBN/EAN: 9783540671480

ISBN - alternate spelling:
3-540-67148-X, 978-3-540-67148-0
Alternate spelling and related search-keywords:
Book author: john coleman
Book title: density


Information from Publisher

Author: A.J. Coleman; V.I. Yukalov
Title: Lecture Notes in Chemistry; Reduced Density Matrices - Coulson’s Challenge
Publisher: Springer; Springer Berlin
282 Pages
Publishing year: 2000-04-14
Berlin; Heidelberg; DE
Language: English
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
Available
XII, 282 p.

BC; Hardcover, Softcover / Chemie/Theoretische Chemie; Quanten- und theoretische Chemie; Verstehen; Applied Mathematics; Reduced Densitty Matrix; Theoretical Chemistry; Complex Systems; Applications of Mathematics; Theoretical, Mathematical and Computational Physics; Kybernetik und Systemtheorie; Angewandte Mathematik; Mathematische Physik; EA

The authors demonstrate that the essential information about order, and energy levels of physical systems is encapsulated in the second order reduced density matrix. They have discovered an algorithm to obtain a reasonable accurate expression for the 2-matrix of an N-particle state to make nearly all properties of matter which are of interest to chemists and physicists accessible.

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