Analyzing Markov Chains using Kronecker Products Theory and Applications /

• Κύριος συγγραφέας: Dayar, Tuğrul (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2012.
• Σειρά: SpringerBriefs in Mathematics,
• Θέματα: Mathematics.; Mathematical statistics.; Numerical analysis.; Probabilities.; Probability Theory and Stochastic Processes.; Numerical Analysis.; Probability and Statistics in Computer Science.

Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process algebras. The motivation behind using a Kronecker structured representation rather than a flat one is...

Πίνακας περιεχομένων:

• Introduction
• Background
• Kronecker representation
• Preprocessing
• Block iterative methods for Kronecker products
• Preconditioned projection methods
• Multilevel methods
• Decompositional methods
• Matrix analytic methods.