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Computational Models of Complex Systems (Hardcover, 2014 ed.) Loot Price: R2,879
Discovery Miles 28 790
Computational Models of Complex Systems (Hardcover, 2014 ed.): Vijay Kumar Mago, Vahid Dabbaghian

Computational Models of Complex Systems (Hardcover, 2014 ed.)

Vijay Kumar Mago, Vahid Dabbaghian

Series: Intelligent Systems Reference Library, 53

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Loot Price R2,879 Discovery Miles 28 790 | Repayment Terms: R270 pm x 12*

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Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resources. This is made possible by assuming parameter(s) in a bounded environment, allowing for controllable experimentation, not always possible in live scenarios. For example, simulation of computational models allows the testing of theories in a manner that is both fundamentally deductive and experimental in nature. The main ingredients for such research ideas come from multiple disciplines and the importance of interdisciplinary research is well recognized by the scientific community. This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems. We hope that the readers will have stimulating experiences to pursue research in these directions.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Intelligent Systems Reference Library, 53
Release date: November 2013
First published: 2014
Editors: Vijay Kumar Mago • Vahid Dabbaghian
Dimensions: 235 x 155 x 12mm (L x W x T)
Format: Hardcover
Pages: 196
Edition: 2014 ed.
ISBN-13: 978-3-319-01284-1
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-319-01284-3
Barcode: 9783319012841

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