Advanced Modern Engineering Maths
5th Edition
Published on 20. June 2018
1016 pages
978-1-292-17582-9 (ISBN)
Description
Building on the foundations laid in the companion text Modern Engineering Mathematics, this book gives an extensive treatment of some of the advanced areas of mathematics that have applications in various fields of engineering, particularly as tools for computer-based system modelling, analysis and design.
The philosophy of learning by doing helps students develop the ability to use mathematics with understanding to solve engineering problems. A wealth of engineering examples and the integration of MATLAB, MAPLE and R further support students.
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The philosophy of learning by doing helps students develop the ability to use mathematics with understanding to solve engineering problems. A wealth of engineering examples and the integration of MATLAB, MAPLE and R further support students.
The full text downloaded to your computer
With eBooks you can:
search for key concepts, words and phrases
make highlights and notes as you study
share your notes with friends
eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.
Upon purchase, you'll gain instant access to this eBook.
Time limit
The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
All prices
More details
Edition
5th edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
Professional and scholarly
ISBN-13
978-1-292-17582-9 (9781292175829)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Glyn James | David Burley | Dick Clements
Advanced Modern Engineering Mathematics
Book
08/2018
5th Edition
Pearson Education Limited
€104.24
Shipment within 10-20 days
Persons
Professor Glyn James is currently Emeritus Professor in Mathematics at Coventry University, having previously been Dean of the School of Mathematical and Information Sciences.
Professor Phil Dyke is a Professor of Applied Mathematics at the School of Computing, Electronics and Mathematics, University of Plymouth.
Tim Reis is a Senior Lecturer in Mathematics at the University of Greenwich. He is an applied mathematician with interests in fluid dynamics, numerical analysis, and mathematical modelling. His doctoral thesis was honoured with the Vernon Harrison prize by the British Society of Rheology and he continues to conduct research into the modelling and simulation of complex flows. Tim teaches a range of mathematical subjects at undergraduate and postgraduate level and he is actively involved in promoting mathematics to the wider community.
Professor Phil Dyke is a Professor of Applied Mathematics at the School of Computing, Electronics and Mathematics, University of Plymouth.
Tim Reis is a Senior Lecturer in Mathematics at the University of Greenwich. He is an applied mathematician with interests in fluid dynamics, numerical analysis, and mathematical modelling. His doctoral thesis was honoured with the Vernon Harrison prize by the British Society of Rheology and he continues to conduct research into the modelling and simulation of complex flows. Tim teaches a range of mathematical subjects at undergraduate and postgraduate level and he is actively involved in promoting mathematics to the wider community.
Content
Introduction
Matrix Analysis
Numerical Solution of Ordinary Differential Equations
Vector Calculus
Functions of a Complex Variable
Laplace Transforms
The z Transform
Fourier Series
The Fourier Transform
Partial Differential Equations
Optimization
Applied Probability and Statistics
Matrix Analysis
Numerical Solution of Ordinary Differential Equations
Vector Calculus
Functions of a Complex Variable
Laplace Transforms
The z Transform
Fourier Series
The Fourier Transform
Partial Differential Equations
Optimization
Applied Probability and Statistics
