The J-Matrix method : developments and applications

This volume aims to provide the fundamental knowledge to appreciate the advantages of the J-matrix method and to encourage its use and further development. The J-matrix method is an algebraic method of quantum scattering with substantial success in atomic and nuclear physics. The accuracy and conver...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
مؤلفون آخرون: Alhaidari, Abdulaziz D. (مدير النشر), Abdelmonem, Mohamed S. (مدير النشر), Heller, Eric Johnson (مدير النشر), Yamani, Hashim A. (مدير النشر)
التنسيق: Livre numérique
اللغة:Anglais
منشور في: Dordrecht : Springer Netherlands [20..].
Cham : Springer Nature
الطبعة:1st ed. 2008.
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Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• The J-Matrix Method, Texte imprimé, 9781402060724
الوصف
الملخص:This volume aims to provide the fundamental knowledge to appreciate the advantages of the J-matrix method and to encourage its use and further development. The J-matrix method is an algebraic method of quantum scattering with substantial success in atomic and nuclear physics. The accuracy and convergence property of the method compares favourably with other successful scattering calculation methods. Despite its thirty-year long history new applications are being found for the J-matrix method. This book gives a brief account of the recent developments and some selected applications of the method in atomic and nuclear physics. New findings are reported in which experimental results are compared to theoretical calculations. Modifications, improvements and extensions of the method are discussed using the language of the J-matrix. The volume starts with a Foreword by the two co-founders of the method, E.J. Heller and H.A. Yamani and it contains contributions from 24 prominent international researchers
وصف المادة:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ردمك:9781402060731
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017