Author	Markowich, Peter A. author
Title	Applied Partial Differential Equations [electronic resource] : A Visual Approach / by Peter A. Markowich
Imprint	Berlin, Heidelberg : Springer Berlin Heidelberg, 2007
Connect to	http://dx.doi.org/10.1007/978-3-540-34646-3
Descript	IX, 206 p. With CD-ROM. online resource

This book presents selected topics in science and engineering from an applied-mathematics point of view. The described natural, socioeconomic, and engineering phenomena are modeled by partial differential equations that relate state variables such as mass, velocity, and energy to their spatial and temporal variations. Typically, these equations are highly nonlinear; in many cases they are systems, and they represent challenges even for the most modern and sophisticated mathematical and numerical-analytic techniques. The selected topics reflect the longtime scientific interests of the author. They include flows of fluids and gases, granular-material flows, biological processes such as pattern formation on animal skins, kinetics of rarified gases, free boundaries, semiconductor devices, and socioeconomic processes. Each topic is briefly introduced in its scientific or engineering context, followed by a presentation of the mathematical models in the form of partial differential equations with a discussion of their basic mathematical properties. The author illustrates each chapter by a series of his own high-quality photographs, which demonstrate that partial differential equations are powerful tools for modeling a large variety of phenomena influencing our daily lives

Kinetic Equations: From Newton to Boltzmann -- The Navier-Stokes and Euler Equations โ Fluid and Gas Dynamics -- Granular Material Flows -- Chemotactic Cell Motion and Biological Pattern Formation -- Semiconductor Modeling -- Free Boundary Problems and Phase Transitions -- Reaction-Diffusion Equations โ Homogeneous and Heterogeneous Environments -- Optimal Transportation and Monge-Ampรจre Equations -- Wave Equations -- Digital Image Processing and Analysis โ PDEs and Variational Tools -- Socio-Economic Modeling

1. Mathematics
2. Computer vision
3. Optical pattern recognition
4. Differential equations
5. partial
6. Engineering mathematics
7. Mathematics
8. Applications of Mathematics
9. Partial Differential Equations
10. Appl.Mathematics/Computational Methods of Engineering
11. Math. Applications in Geosciences
12. Image Processing and Computer Vision
13. Pattern Recognition