[Download] ~ Guide to Simulation-Based Disciplines by Saurabh Mittal, Umut Durak & Tuncer Ören ~ Book PDF Kindle ePub Free

eBook details

Title: Guide to Simulation-Based Disciplines
Author : Saurabh Mittal, Umut Durak & Tuncer Ören
Release Date : January 26, 2017
Genre: Computers,Books,Computers & Internet,Professional & Technical,Engineering,Science & Nature,Life Sciences,
Pages : * pages
Size : 6459 KB

Description

This invaluable text/reference reviews the state of the art in simulation-based approaches across a wide range of different disciplines, and provides evidence of using simulation-based approaches to advance these disciplines. Highlighting the benefits that simulation can bring to any field, the volume presents case studies by the leading experts from such diverse domains as the life sciences, engineering, architecture, arts, and social sciences.
Topics and features:

Includes review questions at the end of every chapter
Provides a broad overview of the evolution of the concept of simulation, stressing its importance across numerous sectors and disciplines
Addresses the role of simulation in engineering design, and emphasizes the benefits of integrating simulation into the systems engineering paradigm
Explains the relation of simulation with Cyber-Physical Systems and the Internet of Things, and describes a simulation infrastructure for complex adaptive systems
Investigates how simulation is used in the Software Design Life Cycle to assess complex solutions, and examines the use of simulation in architectural design
Reviews the function and purpose of simulation within the context of the scientific method, and its contribution to healthcare and health education training
Discusses the position of simulation in research in the social sciences, and describes the simulation of service systems for simulation-based enterprise management
Describes the role of simulation in learning and education, as well as in in military training

With its near-exhaustive coverage of disciplines, this comprehensive collection is essential reading for all researchers, practitioners and students seeking insights into the use of various modeling paradigms and the need for robust simulation infrastructure to advance their field into a computational future.