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Libri sul tema "Self-organized criticality"

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Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 14 marzo 2023

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1

Aschwanden, Markus. Self-Organized Criticality in Astrophysics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15001-2.

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2

Hergarten, Stefan. Self-Organized Criticality in Earth Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04390-5.

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3

Newman, M. E. J. Self-organized criticality, evolution, and extinction. Ithaca, N.Y: Cornell Theory Center, Cornell University, 1996.

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4

Selvam, Amujuri Mary. Self-organized Criticality and Predictability in Atmospheric Flows. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54546-2.

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5

Bak, P. How nature works: The science of self-organized criticality. New York, NY, USA: Copernicus, 1996.

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6

Bak, Per. How Nature Works: The Science of Self-Organized Criticality. S.l: Springer, 1996.

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7

Jensen, Henrik Jeldtoft. Self-organized criticality: Emergent complex behavior in physical and biological systems. Cambridge: Cambridge University Press, 1998.

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8

Vincent, Jansen, a cura di. Population biology and criticality: From critical birth-death processes to self-organized criticality in mutation pathogen systems. London: Imperial College Press, 2011.

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9

service), SpringerLink (Online, a cura di. Self-Organized Criticality in Astrophysics: The Statistics of Nonlinear Processes in the Universe. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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10

Manna, Subhrangshu Sekhar, Attilio L. Stella, Peter Grassberger e Ronald Dickman, a cura di. Self-Organized Criticality, Three Decades Later. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88974-219-6.

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11

Hergarten, Stefan. Self-Organized Criticality in Earth Systems. Springer London, Limited, 2013.

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12

Self-Organized Criticality in Earth Systems. Springer, 2002.

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13

Hergarten, Stefan. Self-Organized Criticality in Earth Systems. Springer, 2010.

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14

Bak, Per. How Nature Works: The Science of Self-Organized Criticality. Springer, 2013.

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15

How Nature Works: The Science of Self-Organized Criticality. Springer-Verlag Telos, 1999.

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16

National Aeronautics and Space Administration (NASA) Staff. Self-Organized Criticality, Multifractals, and Intermittent Turbulence in Earth's Magnetotail. Independently Published, 2018.

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17

Jensen, Henrik Jeldtoft. Self-Organized Criticality: Emergent Complex Behavior in Physical and Biological Systems. Cambridge University Press, 2012.

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18

Aschwanden, Markus. Self-Organized Criticality in Astrophysics: The Statistics of Nonlinear Processes in the Universe. Springer, 2016.

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19

Selvam, Amujuri Mary. Self-organized Criticality and Predictability in Atmospheric Flows: The Quantum World of Clouds and Rain. Springer, 2018.

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20

Selvam, Amujuri Mary. Self-organized Criticality and Predictability in Atmospheric Flows: The Quantum World of Clouds and Rain. Springer, 2017.

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21

Aggregate fluctuations from independent sectoral shocks: Self-organized criticality in a model of production and inventory dynamics. Cambridge, Mass: National Bureau of Economic Research, 1992.

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22

Newman, M. E. J., e R. G. Palmer. Modeling Extinction. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195159455.001.0001.

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Abstract (sommario):
Developed after a meeting at the Santa Fe Institute on extinction modeling, this book comments critically on the various modeling approaches. In the last decade or so, scientists have started to examine a new approach to the patterns of evolution and extinction in the fossil record. This approach may be called "statistical paleontology," since it looks at large-scale patterns in the record and attempts to understand and model their average statistical features, rather than their detailed structure. Examples of the patterns these studies examine are the distribution of the sizes of mass extinction events over time, the distribution of species lifetimes, or the apparent increase in the number of species alive over the last half a billion years. In attempting to model these patterns, researchers have drawn on ideas not only from paleontology, but from evolutionary biology, ecology, physics, and applied mathematics, including fitness landscapes, competitive exclusion, interaction matrices, and self-organized criticality. A self-contained review of work in this field.
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23

Holland, John H. 2. Complex physical systems (CPS). Oxford University Press, 2014. http://dx.doi.org/10.1093/actrade/9780199662548.003.0002.

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Abstract (sommario):
‘Complex physical systems’ considers the characteristics of complex physical systems (CPS), which are often geometric (specifically, lattice-like) arrays of elements, in which interactions typically depend only on effects propagated from nearest neighbors. The elements of a CPS follow fixed physical laws, usually expressed by differential equations—Newton’s laws of gravity and Maxwell’s laws of electromagnetism are cases in point. Neither the laws nor the elements change over time; only the positions of the elements change. CPS show several properties: self-organized criticality, self-similarity, scaling, and power laws. Examples of these properties—such as, snowflake curves, fractals, networks, dynamics, and symmetry-breaking—are discussed.
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