剥削 发表于 2025-3-23 12:11:54

Graph Theory and Small-World Networks,mical systems and is at the basis of our own identity, in the form of a sophisticated neural network. On a social level we interact through social networks, to give a further example – networks are ubiquitous through the domain of all living creatures.

笼子 发表于 2025-3-23 14:29:27

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outskirts 发表于 2025-3-23 21:57:23

Solutions, this chapter in an hopefully easy to follow step-by-step presentation. Computer codes for exercises needing a programming effort are given only for selected cases. For tasks needing Internet searches typical results are discussed.

搜寻 发表于 2025-3-23 23:59:07

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Traumatic-Grief 发表于 2025-3-24 05:40:05

Synchronization Phenomena,mple for a local dynamical system is the time evolution of an infectious disease in a certain city that is weakly influenced by an ongoing outbreak of the same disease in another city; or the case of a neuron in a state where it fires spontaneously under the influence of the afferent axon potentials.

碎片 发表于 2025-3-24 06:58:20

https://doi.org/10.1007/978-3-642-04706-0adaptive systems; cellular automata; complex systems; networks; synchronization

巫婆 发表于 2025-3-24 12:12:59

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AXIS 发表于 2025-3-24 16:41:34

https://doi.org/10.1007/978-3-322-84799-7ression and protein networks constituting the basis of all living creatures as we know it. The brain is probably the most complex of all adaptive dynamical systems and is at the basis of our own identity, in the form of a sophisticated neural network. On a social level we interact through social net

口音在加重 发表于 2025-3-24 19:45:19

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FAR 发表于 2025-3-24 23:25:40

Zustandsverhalten einfacher Systeme,mple for a local dynamical system is the time evolution of an infectious disease in a certain city that is weakly influenced by an ongoing outbreak of the same disease in another city; or the case of a neuron in a state where it fires spontaneously under the influence of the afferent axon potentials
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查看完整版本: Titlebook: Complex and Adaptive Dynamical Systems; A Primer Claudius Gros Textbook 20112nd edition Springer-Verlag Berlin Heidelberg 2011 adaptive sys