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    • Publisher:
      Cambridge University Press
      Publication date:
      September 2012
      March 2005
      ISBN:
      9780511813252
      9780521603690
      Dimensions:
      Weight & Pages:
      Dimensions:
      (247 x 174 mm)
      Weight & Pages:
      0.59kg, 340 Pages
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  • Selected: Digital
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    Book description

    Drawing from a wide variety of mathematical subjects, this book aims to show how mathematics is realised in practice in the everyday world. Dozens of applications are used to show that applied mathematics is much more than a series of academic calculations. Mathematical topics covered include distributions, ordinary and partial differential equations, and asymptotic methods as well as basics of modelling. The range of applications is similarly varied, from the modelling of hair to piano tuning, egg incubation and traffic flow. The style is informal but not superficial. In addition, the text is supplemented by a large number of exercises and sideline discussions, assisting the reader's grasp of the material. Used either in the classroom by upper-undergraduate students, or as extra reading for any applied mathematician, this book illustrates how the reader's knowledge can be used to describe the world around them.

    Reviews

    ' … an entertainingly written book. The effective use of a large number of case studies, shows how mathematics can be used to help address serious real-world problems. this is demonstrated to such an extent that even the most sceptical engineer would have to concede that mathematics can be useful!'

    Source: Mathematics Today

    'Many exercises are the end of each chapter … it is shown in an interesting manner how mathematics can explain processes in nature and techniques … very useful for mathematicians and engineers.'

    Source: ZAMM

    ' … a scenic but hands-on route through the classical topics of math modeling via PDEs … this book is an excellent example of the type of text needed for topics in modeling, analysis, and approximations, particularly in new areas that have spread in the forefront of applied math over the last few decades, such as imagining, stochastic modeling, optimization, and biological modeling.'

    Source: SIAM

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