Mangey Ram, S.B. Singh
August 27, 2019 Forthcoming
Reference - 336 Pages - 103 B/W Illustrations
ISBN 9780815358046 - CAT# K346617
Series: Mathematical Engineering, Manufacturing, and Management Sciences
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This book offers the latest research advances in the field of mathematics applications in engineering sciences and provides a reference with a theoretical and sound background, along with case studies.
In recent years, mathematics has had an amazing growth in engineering sciences. It forms the common foundation of all engineering disciplines. This new book provides a comprehensive range of mathematics applied to various fields of engineering for different tasks in fields such as civil engineering, structural engineering, computer science, electrical engineering, among others. It offers articles that develop the applications of mathematics in engineering sciences, conveys the innovative research ideas, offers real-world utility of mathematics, and plays a significant role in the life of academics, practitioners, researchers, and industry leaders.
Some figures in the eBook will be in color.
Chapter 1 Geometric and Geometric-Like Processes and their Applications in Warranty Analysis. Chapter 2 Supervised Machine Learning: Application Example Using Random Forest in R. Chapter 3 Simulation optimization approach for cost reduction in multi-echelon inventory systems considering cooperation among retailers. Chapter 4 Applied Mathematic Technologies in Nonlinear Mechanics of Thin-Walled Constructions. Chapter 5 Some solutions of differential equations in engineering calculations. Chapter 6 Application of Transmuted Gumbel copula for Energy Modelling. Chapter 7 Differential Quadrature Method, a robust technique to solve differential equations. Chapter 8 The TSCSTFCF procedure for reliability demonstration. Chapter 9 Reliability evaluation of a MANET incorporating copula. Chapter 10 Hydromagnetic flow of copper-water nanofluid with different nanoparticle shapes towards a nonlinear stretchable plate. Chapter 11 Reliability and Sensitivity assessment of a Sugar mill through Mathematical Modeling.