
This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accurately generating approximate distributions of system performance over time, offering a robust tool for understanding the dynamics of such systems. QPLEX circumvents the curse of dimensionality by imposing conditional independence, which may be represented via a probabilistic graphical model, an ...
DETAILS
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems
Dieker, Antonius B., Hackman, Steven T.
Gebunden, xiv, 355 S.
XIV, 355 p. 122 illus., 51 illus. in color.
Sprache: Englisch
235 mm
ISBN-13: 978-3-031-74869-1
Titelnr.: 97644374
Gewicht: 666 g
Springer, Berlin (2024)
Herstelleradresse
Springer Heidelberg
Tiergartenstr. 17
69121 - DE Heidelberg
E-Mail: buchhandel-buch@springer.com