QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

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 f...

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書誌詳細

主要な著者:	Dieker, Antonius B., Hackman, Steven T.
フォーマット:	Online
言語:	英語
出版事項:	Springer Nature 2025
主題:	Transient analysis Curse of dimensionality Conditional independence Probabilistic graphical model thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWL Stochastics
オンライン･アクセス:	ONIX_20250113_9783031748707_20
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