Mathematics is playing an increasingly important role in society and the sciences, enhancing our ability to use models and handle data. While pure mathematics is mostly interested in abstract structures, applied mathematics sits at the interface between this abstract world and the world in which we live. This area of mathematics takes its nourishment from society and science and, in turn, provides a unified way to understand problems arising in diverse fields.
This
Very Short Introduction presents a compact yet comprehensive view of the field of applied mathematics, and explores its relationships with (pure) mathematics, science, and engineering. Explaining the nature of applied mathematics, Alain Goriely discusses its early achievements in physics and engineering, and its development as a separate field after World War II. Using historical examples, current applications, and challenges, Goriely illustrates the particular role that mathematics plays in the modern sciences today and its far-reaching potential.
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Author: Alain Goriely
Publisher: Oxford University Press, USA
Published: 04/22/2018
Pages: 168
Binding Type: Paperback
Weight: 0.30lbs
Size: 7.00h x 4.50w x 0.50d
ISBN: 9780198754046
About the Author
Alain Goriely joined the Department of Mathematics at the University of Arizona shortly after receiving his Ph.D. from the University of Brussels. In 2010, he moved to the University of Oxford as the Chair of Mathematical Modelling. He is currently the Director of the Oxford Centre for Industrial and Applied Mathematics. At the scientific level, he is an applied mathematician with broad interests in mathematics, mechanics, sciences, and engineering, which led him to collaborate closely with researchers from many disciplines. His current research includes the mechanics of biological growth and its applications to plants and physiology; the modelling of new photovoltaic devices; the foundations of elasticity; the modelling of cancer; the mechanics of the human brain; and more generally the development of mathematical methods for applied sciences.