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Mathematical Technology of Networks : Bielefeld, December 2013
Resource Information
The work ** Mathematical Technology of Networks : Bielefeld, December 2013** represents a distinct intellectual or artistic creation found in **European University Institute**. This resource is a combination of several types including: Work, Language Material, Books.

The Resource
Mathematical Technology of Networks : Bielefeld, December 2013
Resource Information

The work

**Mathematical Technology of Networks : Bielefeld, December 2013**represents a distinct intellectual or artistic creation found in**European University Institute**. This resource is a combination of several types including: Work, Language Material, Books.- Label
- Mathematical Technology of Networks : Bielefeld, December 2013

- Title remainder
- Bielefeld, December 2013

- Statement of responsibility
- edited by Delio Mugnolo

- Language
- eng

- Summary
- Bringing together leading researchers in the fields of functional analysis, mathematical physics and graph theory, as well as natural scientists using networks as a tool in their own research fields, such as neuroscience and machine learning, this volume presents recent advances in functional, analytical, probabilistic, and spectral aspects in the study of graphs, quantum graphs, and complex networks. The contributors to this volume explore the interplay between theoretical and applied aspects of discrete and continuous graphs. Their work helps to close the gap between different avenues of research on graphs, including metric graphs and ramified structures. All papers were presented at the conference "Mathematical Technology of Networks, " held December 4-7, 2013 at the Zentrum für interdisziplinäre Forschung (ZiF) in Bielefeld, Germany, and are supplemented with detailed figures illustrating both abstract concepts as well as their real-world applications. Dynamical models on graphs or random graphs are increasingly used in applied sciences as mathematical tools to study complex systems whose exact structure is too complicated to be known in detail. Besides its importance in applied sciences, the field is also increasingly attracting the attention of mathematicians and theoretical physicists interested in the fundamental phenomena (synchronization, phase transitions, etc.) that can be studied in the relatively simple framework of dynamical models of random graphs

- Image bit depth
- 0

- Literary form
- non fiction

- Series statement
- Springer Proceedings in Mathematics & Statistics,

- Series volume
- 128

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/resource/sLrr7xRlpkg/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/resource/sLrr7xRlpkg/">Mathematical Technology of Networks : Bielefeld, December 2013</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>`