Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems

Nonfiction, Science & Nature, Mathematics, Differential Equations, Applied
Cover of the book Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems by , IGI Global
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Author: ISBN: 9781466649941
Publisher: IGI Global Publication: January 31, 2014
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781466649941
Publisher: IGI Global
Publication: January 31, 2014
Imprint: Information Science Reference
Language: English
For various scientific and engineering problems, how to deal with variables and parameters of uncertain value is an important issue. Full analysis of the specific errors in measurement, observations, experiments, and applications are vital in dealing with the parameters taken to simplify the problem. Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems aims to provide the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis, and applications. This book is an essential reference work for students, scholars, practitioners and researchers in the assorted fields of engineering and applied mathematics interested in a model for uncertain physical problems.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
For various scientific and engineering problems, how to deal with variables and parameters of uncertain value is an important issue. Full analysis of the specific errors in measurement, observations, experiments, and applications are vital in dealing with the parameters taken to simplify the problem. Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems aims to provide the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis, and applications. This book is an essential reference work for students, scholars, practitioners and researchers in the assorted fields of engineering and applied mathematics interested in a model for uncertain physical problems.

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