The Profession of Modeling and Simulation

The Profession of Modeling and Simulation
Author: Andreas Tolk
Publisher: John Wiley & Sons
Total Pages: 418
Release: 2017-07-24
Genre: Technology & Engineering
ISBN: 1119288088

Download The Profession of Modeling and Simulation Book in PDF, Epub and Kindle

The definite guide to the theory, knowledge, technical expertise, and ethical considerations that define the M&S profession From traffic control to disaster management, supply chain analysis to military logistics, healthcare management to new drug discovery, modeling and simulation (M&S) has become an essential tool for solving countless real-world problems. M&S professionals are now indispensable to how things get done across virtually every aspect of modern life. This makes it all the more surprising that, until now, no effort has been made to systematically codify the core theory, knowledge, and technical expertise needed to succeed as an M&S professional. This book brings together contributions from experts at the leading edge of the modeling and simulation profession, worldwide, who share their priceless insights into issues which are fundamental to professional success and career development in this critically important field. Running as a common thread throughout the book is an emphasis on several key aspects of the profession, including the essential body of knowledge underlying the M&S profession; the technical discipline of M&S; the ethical standards that should guide professional conduct; and the economic and commercial challenges today’s M&S professionals face. • Demonstrates applications of M&S tools and techniques in a variety of fields—such as engineering, operations research, and cyber environments—with over 500 types of simulations • Highlights professional and academic aspects of the field, including preferred programming languages, professional academic and certification programs, and key international societies • Shows why M&S professionals must be fully versed in the theory, concepts, and tools needed to address the challenges of cyber environments The Profession of Modeling and Simulation is a valuable resource for M&S practitioners, developers, and researchers working in industry and government. Simulation professionals, including administrators, managers, technologists, faculty members, and scholars within the physical sciences, life sciences, and engineering fields will find it highly useful, as will students planning to pursue a career in the M&S profession. “ ...nearly three dozen experts in Modeling and Simulation (M&S) come together to make a compelling case for the recognition of M&S as a profession... Important reading for anyone seeking to elevate the standing of this vital field.” Alfred (Al) Grasso, President & CEO, The MITRE Corporation Andreas Tolk, PhD, is Technology Integrator for the Modeling, Simulation, Experimentation, and Analytics Division of The MITRE Corporation, an adjunct professor in the Department of Engineering Management and Systems Engineering and the Department for Modeling, Simulation, and Visualization Engineering at Old Dominion University, and an SCS fellow. Tuncer Ören, PhD, is Professor Emeritus of Computer Science at the University of Ottawa. He is an SCS fellow and an inductee to SCS Modeling and Simulation Hall of Fame. His research interests include advancing methodologies, ethics, body of knowledge, and terminology of modeling and simulation.

Rare Event Simulation using Monte Carlo Methods

Rare Event Simulation using Monte Carlo Methods
Author: Gerardo Rubino
Publisher: John Wiley & Sons
Total Pages: 278
Release: 2009-03-18
Genre: Mathematics
ISBN: 9780470745410

Download Rare Event Simulation using Monte Carlo Methods Book in PDF, Epub and Kindle

In a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport system or in a nuclear power plant, the failure of an information processing system in a bank, or in the communication network of a group of banks, leading to financial losses. Being able to evaluate the probability of rare events is therefore a critical issue. Monte Carlo Methods, the simulation of corresponding models, are used to analyze rare events. This book sets out to present the mathematical tools available for the efficient simulation of rare events. Importance sampling and splitting are presented along with an exposition of how to apply these tools to a variety of fields ranging from performance and dependability evaluation of complex systems, typically in computer science or in telecommunications, to chemical reaction analysis in biology or particle transport in physics. Graduate students, researchers and practitioners who wish to learn and apply rare event simulation techniques will find this book beneficial.

Next Generation Teletraffic and Wired/Wireless Advanced Networking

Next Generation Teletraffic and Wired/Wireless Advanced Networking
Author: Yevgeni Koucheryavy
Publisher: Springer Science & Business Media
Total Pages: 496
Release: 2007-08-23
Genre: Computers
ISBN: 3540748326

Download Next Generation Teletraffic and Wired/Wireless Advanced Networking Book in PDF, Epub and Kindle

This book constitutes the refereed proceedings of the 7th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking, NEW2AN 2007. The 39 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on teletraffic, traffic characterization and modeling, 3G/UMTS, sensor networks, WLAN, QoS, MANETs, lower layer techniques, PAN technologies, and TCP.

Introduction to Rare Event Simulation

Introduction to Rare Event Simulation
Author: James Bucklew
Publisher: Springer Science & Business Media
Total Pages: 262
Release: 2013-03-09
Genre: Mathematics
ISBN: 1475740786

Download Introduction to Rare Event Simulation Book in PDF, Epub and Kindle

This book presents a unified theory of rare event simulation and the variance reduction technique known as importance sampling from the point of view of the probabilistic theory of large deviations. It allows us to view a vast assortment of simulation problems from a unified single perspective.

Sequential Methods for Rare Event Simulations

Sequential Methods for Rare Event Simulations
Author: Shaojie Deng
Publisher:
Total Pages:
Release: 2010
Genre:
ISBN:

Download Sequential Methods for Rare Event Simulations Book in PDF, Epub and Kindle

We consider rare events modeled as a Markov Chain hitting a certain rare set. A sequential importance sampling with resampling (SISR) method is introduced to provide a versatile approach for computing such probabilities of rare events. The method uses resampling to track the zero-variance importance measure associated with the event of interest. A general methodology for choosing the importance measure and resampling scheme to come up with an efficient estimator of the probability of occurrence of the rare event is developed and the distinction between light-tailed and heavy-tailed problems is highlighted. Applications include classic tail probabilities for sums of independent light-tailed or heavy-tailed random variables. Markovian extensions and simultaneous simulation are also given. The heuristics and the methodology can also be applied to more complex Monte Carlo problems that arise in recent works on the dynamic portfolio credit risk model.

NBS Special Publication

NBS Special Publication
Author:
Publisher:
Total Pages: 188
Release: 1968
Genre: Weights and measures
ISBN:

Download NBS Special Publication Book in PDF, Epub and Kindle

Simulation and Modeling Methodologies, Technologies and Applications

Simulation and Modeling Methodologies, Technologies and Applications
Author: Gerd Wagner
Publisher: Springer Nature
Total Pages: 237
Release: 2023-02-10
Genre: Technology & Engineering
ISBN: 303123149X

Download Simulation and Modeling Methodologies, Technologies and Applications Book in PDF, Epub and Kindle

The present book includes a set of selected papers from the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2021) that was held as an online event, from July 7 to 9, 2021. The conference brought together researchers and practitioners interested in methodologies and applications of modeling and simulation. New and innovative solutions are reported in this book. A selection was made after the conference, based also on the conference chairs assessment, reviewers’ assessment, quality of presentation and audience interest, so that this book includes the extended and revised versions of the very best papers of the conference.