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02645nam a2200445 4500 |
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978-3-319-94758-7 |
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DE-He213 |
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20191029032524.0 |
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cr nn 008mamaa |
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191029s2018 gw | s |||| 0|eng d |
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|a 9783319947587
|9 978-3-319-94758-7
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|a 10.1007/978-3-319-94758-7
|2 doi
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|a Cessenat, Michel.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Mathematical Modelling of Physical Systems
|h [electronic resource] /
|c by Michel Cessenat.
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| 250 |
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|a 1st ed. 2018.
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| 264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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| 300 |
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|a XVII, 505 p. 2 illus.
|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 1. Thermostructure -- 2. Classical Mechanics -- 3. Fluid mechanics modelling -- 4. Behavior Laws -- 5. Appendix.
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|a Comprehensive and thorough, this monograph emphasizes the main role differential geometry and convex analysis play in the understanding of physical, chemical, and mechanical notions. Central focus is placed on specifying the agreement between the functional framework and its physical necessity and on making clear the intrinsic character of physical elements, independent from specific charts or frames. The book is divided into four sections, covering thermostructure, classical mechanics, fluid mechanics modelling, and behavior laws. An extensive appendix provides notations and definitions as well as brief explanation of integral manifolds, symplectic structure, and contact structure. Plenty of examples are provided throughout the book, and reviews of basic principles in differential geometry and convex analysis are presented as needed. This book is a useful resource for graduate students and researchers in the field.
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|a Mathematical models.
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| 650 |
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|a Mathematical Modeling and Industrial Mathematics.
|0 http://scigraph.springernature.com/things/product-market-codes/M14068
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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 9783319947570
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| 776 |
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|i Printed edition:
|z 9783319947594
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|i Printed edition:
|z 9783030069124
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|u https://doi.org/10.1007/978-3-319-94758-7
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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| 950 |
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|a Mathematics and Statistics (Springer-11649)
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