東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

QPLEX = a computational modeling and analysis methodology for stochastic systems /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	QPLEX/ by Antonius B. Dieker, Steven T. Hackman.
其他題名:	a computational modeling and analysis methodology for stochastic systems /
作者:	Dieker, Antonius B.
其他作者:	Hackman, Steven Todd.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xiv, 355 p. :ill. (some col.), digital ;24 cm.
內容註:	Preliminaries. -- First Look at QPLEX. -- Part 1 QPLEX Modeling and Calculus. -- Introduction to QPLEX Modeling and Calculus. -- Simple Transition Dynamics. -- Models with Simple Transition Dynamics. -- Advanced Transition Dynamics. -- Models with Advanced Transition Dynamics. -- Conditional and Joint Probabilities. -- Part 2 Graphical QPLEX Calculus. -- Introduction to Graphical QPLEX Calculus. -- Subsystem QPLEX Calculus. -- Conditional Independence. -- Information Structure. -- Graphical QPLEX Calculus with Distributional Programs. -- Efficient Calculation for Distributional Programs. -- Part 3 Foundations. -- Introduction to Foundations. -- Optimality of QPLEX Iterates. -- Exactness Results.
Contained By:	Springer Nature eBook
標題:	Stochastic systems - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-031-74870-7
ISBN:	9783031748707

QPLEX = a computational modeling and analysis methodology for stochastic systems /
Dieker, Antonius B.

QPLEXa computational modeling and analysis methodology for stochastic systems /[electronic resource] :by Antonius B. Dieker, Steven T. Hackman. - Cham :Springer Nature Switzerland :2025. - xiv, 355 p. :ill. (some col.), digital ;24 cm. - Springer series in operations research and financial engineering,2197-1773. - Springer series in operations research and financial engineering..

Preliminaries. -- First Look at QPLEX. -- Part 1 QPLEX Modeling and Calculus. -- Introduction to QPLEX Modeling and Calculus. -- Simple Transition Dynamics. -- Models with Simple Transition Dynamics. -- Advanced Transition Dynamics. -- Models with Advanced Transition Dynamics. -- Conditional and Joint Probabilities. -- Part 2 Graphical QPLEX Calculus. -- Introduction to Graphical QPLEX Calculus. -- Subsystem QPLEX Calculus. -- Conditional Independence. -- Information Structure. -- Graphical QPLEX Calculus with Distributional Programs. -- Efficient Calculation for Distributional Programs. -- Part 3 Foundations. -- Introduction to Foundations. -- Optimality of QPLEX Iterates. -- Exactness Results.

Open access.

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, and exploiting model dynamics. It is specifically crafted for transient analysis of nonstationary systems, often encountered in practical applications but rarely addressed by traditional techniques. It can work directly with empirical distributions and requires no stability assumptions. Since its output is not noisy, QPLEX is tailor-made for sensitivity analysis and optimization. The methodology's few model primitives are flexible enough to specify a rich array of models. For example, models representing queueing networks can exhibit challenging characteristics such as short operational horizons; time-varying arrival rates, service durations, and numbers of servers; and complex routing of entities. The text is accessible to those with engineering, computer science, or mathematics backgrounds and knowledge of probability and stochastic models at the advanced undergraduate level. Many fully worked-out examples aid the comprehension of the concepts and calculations, ensuring readers can effectively apply the methods to real-world systems and making this book a valuable resource for researchers and practitioners alike. This is an open access book.

ISBN: 9783031748707

Standard No.: 10.1007/978-3-031-74870-7doiSubjects--Topical Terms:

1086565
Stochastic systems
--Mathematical models.

LC Class. No.: QA274.2

Dewey Class. No.: 003.76

QPLEX = a computational modeling and analysis methodology for stochastic systems /
LDR:03571nmm a2200373 a 4500 001 2408413
003 DE-He213
005 20241229115246.0
006 m o d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031748707 $q (electronic bk.)
020 $a 9783031748691 $q (paper)
024 7 $a 10.1007/978-3-031-74870-7 $2 doi
035 $a 978-3-031-74870-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA274.2
072 7 $a PBWH $2 bicssc
072 7 $a TBJ $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBWH $2 thema
072 7 $a TBJ $2 thema
082 0 4 $a 003.76 $2 23
090 $a QA274.2 $b .D559 2025
100 1 $a Dieker, Antonius B. $3 3780901
245 1 0 $a QPLEX $h [electronic resource] : $b a computational modeling and analysis methodology for stochastic systems / $c by Antonius B. Dieker, Steven T. Hackman.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xiv, 355 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer series in operations research and financial engineering, $x 2197-1773
505 0 $a Preliminaries. -- First Look at QPLEX. -- Part 1 QPLEX Modeling and Calculus. -- Introduction to QPLEX Modeling and Calculus. -- Simple Transition Dynamics. -- Models with Simple Transition Dynamics. -- Advanced Transition Dynamics. -- Models with Advanced Transition Dynamics. -- Conditional and Joint Probabilities. -- Part 2 Graphical QPLEX Calculus. -- Introduction to Graphical QPLEX Calculus. -- Subsystem QPLEX Calculus. -- Conditional Independence. -- Information Structure. -- Graphical QPLEX Calculus with Distributional Programs. -- Efficient Calculation for Distributional Programs. -- Part 3 Foundations. -- Introduction to Foundations. -- Optimality of QPLEX Iterates. -- Exactness Results.
506 $a Open access.
520 $a 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, and exploiting model dynamics. It is specifically crafted for transient analysis of nonstationary systems, often encountered in practical applications but rarely addressed by traditional techniques. It can work directly with empirical distributions and requires no stability assumptions. Since its output is not noisy, QPLEX is tailor-made for sensitivity analysis and optimization. The methodology's few model primitives are flexible enough to specify a rich array of models. For example, models representing queueing networks can exhibit challenging characteristics such as short operational horizons; time-varying arrival rates, service durations, and numbers of servers; and complex routing of entities. The text is accessible to those with engineering, computer science, or mathematics backgrounds and knowledge of probability and stochastic models at the advanced undergraduate level. Many fully worked-out examples aid the comprehension of the concepts and calculations, ensuring readers can effectively apply the methods to real-world systems and making this book a valuable resource for researchers and practitioners alike. This is an open access book.
650 0 $a Stochastic systems $x Mathematical models. $3 1086565
650 0 $a Stochastic analysis. $3 533923
650 1 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Stochastic Analysis. $3 3599427
650 2 4 $a Stochastic Processes. $3 906873
700 1 $a Hackman, Steven Todd. $3 3780902
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer series in operations research and financial engineering. $3 1619945
856 4 0 $u https://doi.org/10.1007/978-3-031-74870-7
950 $a Mathematics and Statistics (SpringerNature-11649)