System Dynamics Modeling with R Book [PDF] Download

Download the fantastic book titled System Dynamics Modeling with R written by Jim Duggan, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "System Dynamics Modeling with R", which was released on 14 June 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of System Dynamics Modeling with R by Jim Duggan PDF

This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book provides a practical introduction to system dynamics, and covers key concepts such as stocks, flows, and feedback. Societal challenges such as predicting the impact of an emerging infectious disease, estimating population growth, and assessing the capacity of health services to cope with demographic change can all benefit from the application of computer simulation. This text explains important building blocks of the system dynamics approach, including material delays, stock management heuristics, and how to model effects between different systemic elements. Models from epidemiology, health systems, and economics are presented to illuminate important ideas, and the R programming language is used to provide an open-source and interoperable way to build system dynamics models. System Dynamics Modeling with R also describes hands-on techniques that can enhance client confidence in system dynamic models, including model testing, model analysis, and calibration. Developed from the author’s course in system dynamics, this book is written for undergraduate and postgraduate students of management, operations research, computer science, and applied mathematics. Its focus is on the fundamental building blocks of system dynamics models, and its choice of R as a modeling language make it an ideal reference text for those wishing to integrate system dynamics modeling with related data analytic methods and techniques.


Detail About System Dynamics Modeling with R PDF

  • Author : Jim Duggan
  • Publisher : Springer
  • Genre : Computers
  • Total Pages : 176 pages
  • ISBN : 3319340433
  • PDF File Size : 36,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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System Dynamics Modeling with R

System Dynamics Modeling with R
  • Publisher : Springer
  • File Size : 44,6 Mb
  • Release Date : 14 June 2016
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This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the

Introduction to System Dynamic Modelling and Vensim Software

Introduction to System Dynamic Modelling and Vensim Software
  • Publisher : UUM Press
  • File Size : 51,5 Mb
  • Release Date : 01 January 2017
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System dynamics simulation modelling technique is taught to students at undergraduate and graduate levels. The students are taught how to develop a system dynamics model of the system under study.

System Dynamics

System Dynamics
  • Publisher : John Wiley & Sons
  • File Size : 25,6 Mb
  • Release Date : 07 March 2012
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An expanded new edition of the bestselling system dynamics book using the bond graph approach A major revision of the go-to resource for engineers facing the increasingly complex job of

Theory and Practical Exercises of System Dynamics

Theory and Practical Exercises of System Dynamics
  • Publisher : Juan Martín García
  • File Size : 39,9 Mb
  • Release Date : 03 September 2023
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This book is a guide that shows step by step the process of building simulation models using System Dynamics. It is written in a clear and comprehensible style that illustrates

Mediated Modeling

Mediated Modeling
  • Publisher : Washington, DC : Island Press
  • File Size : 32,6 Mb
  • Release Date : 01 April 2004
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Mediated modeling is an innovative new approach that enhances the use of computer models as invaluable tools to guide policy and management decisions. Rather than having outside experts dispensing answers

Power System Dynamics with Computer-Based Modeling and Analysis

Power System Dynamics with Computer-Based Modeling and Analysis
  • Publisher : John Wiley & Sons
  • File Size : 33,5 Mb
  • Release Date : 21 January 2020
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A unique combination of theoretical knowledge and practical analysis experience Derived from Yoshihide Hases Handbook of Power Systems Engineering, 2nd Edition, this book provides readers with everything they need to

Modeling and Simulation of Dynamic Systems

Modeling and Simulation of Dynamic Systems
  • Publisher : Pearson
  • File Size : 49,6 Mb
  • Release Date : 09 June 1997
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Introduction to modeling and simulation - Models for dynamic systems and systems similarity - Modeling of engineering systems - Mechanical systems - Electrical systems - Fluid systems - Thermal systems

Digital Transformation in Semiconductor Manufacturing

Digital Transformation in Semiconductor Manufacturing
  • Publisher : Springer Nature
  • File Size : 38,5 Mb
  • Release Date : 26 May 2020
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This open access book reports on cutting-edge electrical engineering and microelectronics solutions to foster and support digitalization in the semiconductor industry. Based on the outcomes of the European project iDev40,

System Dynamics

System Dynamics
  • Publisher : Unknown Publisher
  • File Size : 50,6 Mb
  • Release Date : 24 July 2013
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For junior-level courses in System Dynamics, offered in Mechanical Engineering and Aerospace Engineering departments. This text presents students with the basic theory and practice of system dynamics. It introduces the

Dynamics of Underactuated Multibody Systems

Dynamics of Underactuated Multibody Systems
  • Publisher : Springer Science & Business Media
  • File Size : 49,7 Mb
  • Release Date : 08 November 2013
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Underactuated multibody systems are intriguing mechatronic systems, as they posses fewer control inputs than degrees of freedom. Some examples are modern light-weight flexible robots and articulated manipulators with passive joints.