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02872nam a22004935i 4500 |
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978-3-319-15117-5 |
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20151204162213.0 |
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150821s2016 gw | s |||| 0|eng d |
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|a 9783319151175
|9 978-3-319-15117-5
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|a 10.1007/978-3-319-15117-5
|2 doi
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|d GrThAP
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|a TA329-348
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|a TA640-643
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|a TBJ
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|a MAT003000
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|a 519
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|a Geiser, Juergen.
|e author.
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|a Multicomponent and Multiscale Systems
|h [electronic resource] :
|b Theory, Methods, and Applications in Engineering /
|c by Juergen Geiser.
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|a 1st ed. 2016.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a XXVI, 325 p. 79 illus., 52 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 General Principles -- Theoretical Part: Functional Splitting -- Algorithmic Part.- Models and Application -- Engineering Applications -- Conclusions.- Glossary.
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|a This book examines the latest research results from combined multi-component and multi-scale explorations. It provides theory, considers underlying numerical methods, and presents brilliant computational experimentation. Engineering computations featured in this monograph further offer particular interest to many researchers, engineers, and computational scientists working in frontier modeling and applications of multicomponent and multiscale problems. Professor Geiser gives specific attention to the aspects of decomposing and splitting delicate structures and controlling decomposition and the rationale behind many important applications of multi-component and multi-scale analysis. Multicomponent and Multiscale Systems: Theory, Methods, and Applications in Engineering also considers the question of why iterative methods can be powerful and more appropriate for well-balanced multiscale and multicomponent coupled nonlinear problems. The book is ideal for engineers and scientists working in theoretical and applied areas.
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|a Engineering.
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|a Computer simulation.
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|a Physics.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Engineering.
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|a Appl.Mathematics/Computational Methods of Engineering.
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|a Simulation and Modeling.
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650 |
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|a Numerical and Computational Physics.
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710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319151168
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|u http://dx.doi.org/10.1007/978-3-319-15117-5
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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