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

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

S. Chakraverty (Herausgeber)

Buch | Hardcover
357 Seiten
2014
Idea Group,U.S. (Verlag)
9781466649910 (ISBN)
CHF 409,95 inkl. MwSt
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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.

Dr. S. Chakraverty is a Professor of Mathematics at the National Institute of Technology Rourkela, India, he has a Ph. D. from IIT Roorkee and post-doctoral research from ISVR, University of Southampton, U.K. and Concordia University, Canada. He was visiting professor at Concordia and McGill university and presently of University of Johannesburg, South Africa. He has published three books, 120 research papers, is the reviewer of many international journals, is the recipient of CSIR Young Scientist, BOYSCAST, UCOST, Golden Jubilee CBRI, INSA International Bilateral Exchange and Roorkee University gold medal awards. His research areas includes mathematical Modelling, Soft computing, Machine Intelligence, Vibration and Inverse Vibration and Numerical analysis.

Erscheint lt. Verlag 31.1.2014
Reihe/Serie Advances in Computational Intelligence and Robotics
Verlagsort Harrisburg, PA
Sprache englisch
Maße 152 x 229 mm
Gewicht 1360 g
Themenwelt Mathematik / Informatik Mathematik Algebra
Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Naturwissenschaften
ISBN-13 9781466649910 / 9781466649910
Zustand Neuware
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