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Foundations and methods of stochasti...

Nelson, Barry L.

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Foundations and methods of stochastic simulation = a first course /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Foundations and methods of stochastic simulation/ by Barry L. Nelson, Linda Pei.
其他題名:	a first course /
作者:	Nelson, Barry L.
其他作者:	Pei, Linda.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xvi, 313 p. :ill. (some col.), digital ;24 cm.
內容註:	Chapter 1: Why Do We Simulate -- Chapter 2: Simulation Programming: Quick Start -- Chapter 3: Examples -- Chapter 4: Simulation Programming with PythonSim -- Chapter 5: Three Views of Simulation -- Chapter 6: Simulation Input -- Chapter 7: Simulation Output -- Chapter 8: Experiment Design and Analysis -- Chapter 9: Simulation Optimization and Sensitivity -- Chapter 10: Simulation for Research -- References -- Index.
Contained By:	Springer Nature eBook
標題:	Stochastic analysis. -
電子資源:	https://doi.org/10.1007/978-3-030-86194-0
ISBN:	9783030861940

Foundations and methods of stochastic simulation = a first course /
Nelson, Barry L.

Foundations and methods of stochastic simulationa first course /[electronic resource] :by Barry L. Nelson, Linda Pei. - Second edition. - Cham :Springer International Publishing :2021. - xvi, 313 p. :ill. (some col.), digital ;24 cm. - International series in operations research & management science,3162214-7934 ;. - International series in operations research & management science ;316..

Chapter 1: Why Do We Simulate -- Chapter 2: Simulation Programming: Quick Start -- Chapter 3: Examples -- Chapter 4: Simulation Programming with PythonSim -- Chapter 5: Three Views of Simulation -- Chapter 6: Simulation Input -- Chapter 7: Simulation Output -- Chapter 8: Experiment Design and Analysis -- Chapter 9: Simulation Optimization and Sensitivity -- Chapter 10: Simulation for Research -- References -- Index.

This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.

ISBN: 9783030861940

Standard No.: 10.1007/978-3-030-86194-0doiSubjects--Topical Terms:

533923
Stochastic analysis.

LC Class. No.: QA274.2 / .N45 2021

Dewey Class. No.: 519.22

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520 $a This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.
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