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Optimal transportation networks: models and theory
The transportation problem can be formalized as the problem of finding the optimal way to transport a given measure into another with the same mass. In contrast to the Monge-Kantorovitch problem, recent approaches model the branched structure of such supply networks as minima of an energy functional...
Autores principales: | , , |
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Lenguaje: | eng |
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Springer
2009
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-540-69315-4 http://cds.cern.ch/record/1691660 |
_version_ | 1780935801610174464 |
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author | Bernot, Marc Caselles, Vicent Morel, Jean-Michel |
author_facet | Bernot, Marc Caselles, Vicent Morel, Jean-Michel |
author_sort | Bernot, Marc |
collection | CERN |
description | The transportation problem can be formalized as the problem of finding the optimal way to transport a given measure into another with the same mass. In contrast to the Monge-Kantorovitch problem, recent approaches model the branched structure of such supply networks as minima of an energy functional whose essential feature is to favour wide roads. Such a branched structure is observable in ground transportation networks, in draining and irrigation systems, in electrical power supply systems and in natural counterparts such as blood vessels or the branches of trees. These lectures provide mathematical proof of several existence, structure and regularity properties empirically observed in transportation networks. The link with previous discrete physical models of irrigation and erosion models in geomorphology and with discrete telecommunication and transportation models is discussed. It will be mathematically proven that the majority fit in the simple model sketched in this volume. |
id | cern-1691660 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2009 |
publisher | Springer |
record_format | invenio |
spelling | cern-16916602021-04-21T21:08:07Zdoi:10.1007/978-3-540-69315-4http://cds.cern.ch/record/1691660engBernot, MarcCaselles, VicentMorel, Jean-MichelOptimal transportation networks: models and theoryMathematical Physics and MathematicsThe transportation problem can be formalized as the problem of finding the optimal way to transport a given measure into another with the same mass. In contrast to the Monge-Kantorovitch problem, recent approaches model the branched structure of such supply networks as minima of an energy functional whose essential feature is to favour wide roads. Such a branched structure is observable in ground transportation networks, in draining and irrigation systems, in electrical power supply systems and in natural counterparts such as blood vessels or the branches of trees. These lectures provide mathematical proof of several existence, structure and regularity properties empirically observed in transportation networks. The link with previous discrete physical models of irrigation and erosion models in geomorphology and with discrete telecommunication and transportation models is discussed. It will be mathematically proven that the majority fit in the simple model sketched in this volume.Springeroai:cds.cern.ch:16916602009 |
spellingShingle | Mathematical Physics and Mathematics Bernot, Marc Caselles, Vicent Morel, Jean-Michel Optimal transportation networks: models and theory |
title | Optimal transportation networks: models and theory |
title_full | Optimal transportation networks: models and theory |
title_fullStr | Optimal transportation networks: models and theory |
title_full_unstemmed | Optimal transportation networks: models and theory |
title_short | Optimal transportation networks: models and theory |
title_sort | optimal transportation networks: models and theory |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-540-69315-4 http://cds.cern.ch/record/1691660 |
work_keys_str_mv | AT bernotmarc optimaltransportationnetworksmodelsandtheory AT casellesvicent optimaltransportationnetworksmodelsandtheory AT moreljeanmichel optimaltransportationnetworksmodelsandtheory |