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Model Engineering for Simulation Zhang Zeigler LaiLi Paperback Academic Press

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Product Description

Model Engineering for Simulation

Helps engineers implement and execute effective modeling and simulation lifecycle solutions using the DEVS approach

Lin Zhang (Edited by), Bernard P. Zeigler (Edited by), Yuanjun LaiLi (Edited by)

9780128135433

Paperback / softback, published 1 March 2019

453 pages

23.5 x 19 x 2.8 cm, 1.04 kg

Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments.

1. History of Subsurface Development

2. Pla]

Model Engineering for Simulation Zhang Zeigler LaiLi Paperback Academic Press

Model Engineering for Simulation

Helps engineers implement and execute effective modeling and simulation lifecycle solutions using the DEVS approach

Lin Zhang (Edited by), Bernard P. Zeigler (Edited by), Yuanjun LaiLi (Edited by)

9780128135433

Paperback / softback, published 1 March 2019

453 pages

23.5 x 19 x 2.8 cm, 1.04 kg

Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments.

1. History of Subsurface Development

2. Pla]

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