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|a 9783540346463
|9 978-3-540-34646-3
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|a 10.1007/978-3-540-34646-3
|2 doi
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|a QA299.6-433
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|a MAT034000
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|a Markowich, Peter.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Applied Partial Differential Equations:
|h [electronic resource] :
|b A Visual Approach /
|c by Peter Markowich.
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|a 1st ed. 2007.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2007.
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|a X, 206 p. 96 illus., 81 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Kinetic Equations: From Newton to Boltzmann -- The Navier-Stokes and Euler Equations - 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 - Homogeneous and Heterogeneous Environments -- Optimal Transportation and Monge-Ampère Equations -- Wave Equations -- Digital Image Processing and Analysis - PDEs and Variational Tools -- Socio-Economic Modeling.
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|a 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.
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|a Mathematical analysis.
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|a Mathematics.
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|a Differential equations.
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650 |
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|a Engineering mathematics.
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650 |
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|a Engineering-Data processing.
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650 |
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|a Earth sciences.
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650 |
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|a Computer vision.
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|a Analysis.
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|a Applications of Mathematics.
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|a Differential Equations.
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650 |
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|a Mathematical and Computational Engineering Applications.
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|a Earth Sciences.
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650 |
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|a Computer Vision.
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710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540824893
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|i Printed edition:
|z 9783540346456
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|i Printed edition:
|z 9783662518120
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|u https://doi.uam.elogim.com/10.1007/978-3-540-34646-3
|z Texto Completo
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|a ZDB-2-SMA
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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