Matrix-analytic methods in stochastic models

Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models.  Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intrin...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Latouche, Guy
مؤلفون آخرون: Ramaswami, Vaidyanathan (مدير النشر), Sethuraman, Jay (مدير النشر), Sigman, Karl (مدير النشر), Squillante, Mark S. (مدير النشر), Yao, David (مدير النشر)
التنسيق: Livre numérique
اللغة:Anglais
منشور في: New York, NY : Springer New York [20..].
Cham : Springer Nature
الطبعة:1st ed. 2013.
سلاسل:Springer Proceedings in Mathematics & Statistics 27
الوصول للمادة أونلاين:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
ملاحظة: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Matrix-Analytic Methods in Stochastic Models, Texte imprimé, 9781461449089
• Matrix-Analytic Methods in Stochastic Models, Texte imprimé, 9781461449102
• Matrix-Analytic Methods in Stochastic Models, Texte imprimé, 9781489994240
الوصف
الملخص:Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models.  Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance measures) of the underlying stochastic processes, and apply these probabilistic structures and/or computational algorithms within a wide variety of fields.  This volume presents recent research results on: the theory, algorithms and methodologies concerning matrix-analytic and related methods in stochastic models; and the application of matrix-analytic and related methods in various fields, which includes but is not limited to computer science and engineering, communication networks and telephony, electrical and industrial engineering, operations research, management science, financial and risk analysis, and bio-statistics.  These research studies provide deep insights and understanding of the stochastic models of interest from a mathematics and applications perspective, as well as identify directions for future research
وصف المادة:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ردمك:9781461449096
تدمد:2194-1017
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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