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Mathematics in Nature
A01=John Adam
Air mass
Amplitude
Angular diameter
Approximation
Author_John Adam
Boundary value problem
Buckling
Calculation
Category=PB
Category=PS
Circumference
Convection
Curvature
Density
Diagram (category theory)
Diameter
Differentiable function
Differential equation
Dimension
Dimensional analysis
Dimensionless quantity
Dispersion relation
Drop (liquid)
Dune
Earth
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Equation
Fermi problem
Fibonacci number
Geometry
Golden angle
Gravitational acceleration
Gravity
Gravity wave
Initial condition
Instability
Kinetic energy
Lee wave
Length scale
Line segment
Mathematical model
Mathematician
Mathematics
Molecule
Natural frequency
Natural number
Partial differential equation
Pattern formation
Prediction
Proportionality (mathematics)
Quantity
Refraction
Refractive index
Reynolds number
Scattering
Soap bubble
Solitary wave
Square root
Summation
Surface area
Surface tension
Temperature
Theorem
Theory
Three-dimensional space (mathematics)
Trigonometry
Variable (mathematics)
Vibration
Viscosity
Wave
Wave equation
Wavelength
Wavenumber
Wing loading
Product details
- ISBN 9780691127965
- Weight: 709g
- Dimensions: 156 x 235mm
- Publication Date: 10 Sep 2006
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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From rainbows, river meanders, and shadows to spider webs, honeycombs, and the markings on animal coats, the visible world is full of patterns that can be described mathematically. Examining such readily observable phenomena, this book introduces readers to the beauty of nature as revealed by mathematics and the beauty of mathematics as revealed in nature. Generously illustrated, written in an informal style, and replete with examples from everyday life, Mathematics in Nature is an excellent and undaunting introduction to the ideas and methods of mathematical modeling. It illustrates how mathematics can be used to formulate and solve puzzles observed in nature and to interpret the solutions. In the process, it teaches such topics as the art of estimation and the effects of scale, particularly what happens as things get bigger. Readers will develop an understanding of the symbiosis that exists between basic scientific principles and their mathematical expressions as well as a deeper appreciation for such natural phenomena as cloud formations, halos and glories, tree heights and leaf patterns, butterfly and moth wings, and even puddles and mud cracks.
Developed out of a university course, this book makes an ideal supplemental text for courses in applied mathematics and mathematical modeling. It will also appeal to mathematics educators and enthusiasts at all levels, and is designed so that it can be dipped into at leisure.
John A. Adam is Professor of Mathematics at Old Dominion University, coeditor of "A Survey of Models for Tumor-Immune System Dynamics", and a regular contributor to leading journals in applied mathematics.
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