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Applied Mathematics in Engineering and Reliability : Proceedings of the 1st International Conference on Applied Mathematics in Engineering and Reliability (Ho Chi Minh City, Vietnam, 4-6 May 2016)

By: (Edited by) Chu Duc Khanh , (Edited by) Phan Dao , (Edited by) Radim Bris , (Edited by) Vaclav Snasel

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Ksh 32,400.00

Format: Hardback or Cased Book

ISBN-10: 1138029289

ISBN-13: 9781138029286

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Apr 12th, 2016

Print length: 336 Pages

Weight: 748 grams

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The book covers topics within mathematics applied in reliability, risk and engineering, and will be of interest to academics and professionals working in a wide range of industrial, governmental and academic sectors, from Electrical and Electronic Engineering, via Energy Production and Infrastructures, to Nuclear Engineering and Policy Making.

Applied Mathematics in Engineering and Reliability contains papers presented at the International Conference on Applied Mathematics in Engineering and Reliability (ICAMER 2016, Ho Chi Minh City, Viet Nam, 4-6 May 2016). The book covers a wide range of topics within mathematics applied in reliability, risk and engineering, including:

- Risk and Reliability Analysis Methods

- Maintenance Optimization

- Bayesian Methods

- Monte Carlo Methods for Parallel Computing of Reliability and Risk

- Advanced Mathematical Methods in Engineering

- Methods for solutions of Nonlinear Partial Differential Equations

- Statistics and Applied Statistics, etc.

The application areas range from Nuclear, Mechanical and Electrical Engineering to Information Technology and Communication, Safety Engineering, Environmental Engineering, Finance or Health and Medicine. The papers cover both theory and applications, which are focused to a wide range of sectors and problem areas. Integral demonstrations of the use of reliability and engineering mathematics are provided in many practical applications concerning major technological systems and structures.

 


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