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03180nam a22005415i 4500 |
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140715s2014 gw | s |||| 0|eng d |
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|a 9783662437391
|9 978-3-662-43739-1
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|a 10.1007/978-3-662-43739-1
|2 doi
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|a QA273.A1-274.9
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|a QA274-274.9
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|a 519.2
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|a Chen, Wei.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Explosive Percolation in Random Networks
|h [electronic resource] /
|c by Wei Chen.
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|a 1st ed. 2014.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2014.
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|a XV, 63 p. 22 illus., 9 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|a Introduction -- Discontinuous Explosive Percolation with Multiple Giant Components -- Deriving An Underlying Mechanism for Discontinuous Percolation Transitions -- Continuous Phase Transitions in Supercritical Explosive Percolation -- Unstable Supercritical Discontinuous Percolation Transitions -- Algorithm of percolation models.
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|a This thesis is devoted to the study of the Bohman-Frieze-Wormald percolation model, which exhibits a discontinuous transition at the critical threshold, while the phase transitions in random networks are originally considered to be robust continuous phase transitions. The underlying mechanism that leads to the discontinuous transition in this model is carefully analyzed and many interesting critical behaviors, including multiple giant components, multiple phase transitions, and unstable giant components are revealed. These findings should also be valuable with regard to applications in other disciplines such as physics, chemistry and biology.
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|a Probabilities.
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|a Numerical analysis.
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|a Mathematical physics.
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|a Probability Theory and Stochastic Processes.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M27004
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|a Numerical Analysis.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M14050
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|a Mathematical Applications in the Physical Sciences.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M13120
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783662437407
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|i Printed edition:
|z 9783662437384
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|i Printed edition:
|z 9783662515396
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|u https://doi.org/10.1007/978-3-662-43739-1
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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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