Engineering Mathematics with Examples and Applications 1st Edition by Xin-She Yang (PDF)

Description

Engineering Mathematics with Examples and Applications provides a compact and concise primer in the field, starting with the foundations, and then gradually developing to the advanced level of mathematics that is necessary for all engineering disciplines. Therefore, this book’s aim is to help undergraduates rapidly develop the fundamental knowledge of engineering mathematics.The book can also be used by graduates to review and refresh their mathematical skills. Step-by-step worked examples will help the students gain more insights and build sufficient confidence in engineering mathematics and problem-solving. The main approach and style of this book is informal, theorem-free, and practical. By using an informal and theorem-free approach, all fundamental mathematics topics required for engineering are covered, and readers can gain such basic knowledge of all important topics without worrying about rigorous (often boring) proofs. Certain rigorous proof and derivatives are presented in an informal way by direct, straightforward mathematical operations and calculations, giving students the same level of fundamental knowledge without any tedious steps. In addition, this practical approach provides over 100 worked examples so that students can see how each step of mathematical problems can be derived without any gap or jump in steps. Thus, readers can build their understanding and mathematical confidence gradually and in a step-by-step manner.

User’s Reviews

Editorial Reviews: Review A compact and highly accessible introduction to many of the most pertinent areas of applied mathematics relevant to the engineering profession From the Back Cover Engineering Mathematics with Examples and Applications provides a compact and concise primer for the field, developing from rigorous but accessible foundations to the advanced level that is necessary for all engineering disciplines. The work is relevant to both undergraduate and graduate students interested in improving their math skills. The main approach and style of this book is informal, theorem-free and practical, and readers can gain basic knowledge of most important topics without worrying about proofs. Some rigorous proofs and derivatives are nevertheless presented in an informal way by straightforward mathematical operations and calculations. In addition, the practical approach provides over 250 worked examples in this book so that students can see how each step of the mathematical problems can be derived without any gap or jump in steps. Thus, readers can build their understanding and mathematical confidence gradually and in a step-by-step manner.Balances theory and practice, so that readers can learn the fundamentals of theory, but also conduct practical problem-solving in various context with applicationsAims to help the reader become a confident problem-solver with over 250 step-by-step worked examples Emphasizes numerical methods such as root-finding algorithms, numerical integration and numerical methods of differential equationsAbout the AuthorXin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London, Adjunct Professor at Reykjavik University (Iceland) and Guest Professor at Xi’an Polytechnic University (China). He is an elected Bye-Fellow at Downing College, Cambridge University. He is also the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management, and the Editor-in-Chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO). About the Author Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London, Adjunct Professor at Reykjavik University (Iceland) and Guest Professor at Xi’an Polytechnic University (China). He is an elected Bye-Fellow at Downing College, Cambridge University. He is also the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management, and the Editor-in-Chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO). Read more

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