Guide to Simulation-Based Disciplines : Advancing Our Computational Future /

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 volu...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Mittal, Saurabh; Durak, Umut; Oren, Tuncer
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Simulation Foundations, Methods and Applications,
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-61264-5
Summary: 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,
Carrier Form: 1 online resource(XIX,370pages): illustrations.
ISBN: 9783319612645
Index Number: QA76
CLC: TP391.9
Contents: Part I: Background -- The Evolution of Simulation and its Contributions to Many Disciplines -- The Modeling and Simulation (M&S) Technology Landscape -- Part II: Engineering and Architecture -- Simulation-Based Engineering -- Simulation-Based Systems Engineering -- Simulation-Based Cyber-Physical Systems and the Internet of Things -- Simulation-Based Complex Adaptive Systems -- Simulation-Based Software Engineering -- Simulation-Based Architecture -- Part III: Natural Sciences -- Simulation-Based Science: Toward Cognitive Generative Architectures for Simulation-Driven Discovery -- Systems De