Chaos: An interdisciplinary journal of nonlinear science

• 

  Año 2017, Vol. 27, Número 3

  • Seleccionado

    Percolation framework to describe El Niño conditions,

    Jun Meng, Jingfang Fan, Yosef Ashkenazy, Shlomo Havlin

    pág. 35807

    
  • Seleccionado

    A complex network representation of wind flows.

    Maximilian Gelbrecht, Niklas Boers, Jürgen Kurths

    pág. 35808

    
  • Seleccionado

    Multiplex multivariate recurrence network from multi-channel signals for revealing oil-water spatial flow behavior.

    Zhong-Ke Gao, Wei-Dong Dang, Yu-Xuan Yang, Qing Cai

    pág. 35809

    
  • Seleccionado

    An observer for an occluded reaction-diffusion system with spatially varying parameters.

    Sean Kramer, Erik M. Bollt

    pág. 35810

    
  • Seleccionado

    Smooth information flow in temperature climate network reflects mass transport.

    Jaroslav Hlinka, Nikola Jajcay, David Hartman, Milan Palus

    pág. 35811

    
  • Seleccionado

    Small-world bias of correlation networks: From brain to climate.

    Jaroslav Hlinka, David Hartman, Nikola Jajcay, David Tomeček, Jaroslav Tintěra

    pág. 35812

    
  • Seleccionado

    A perturbation-theoretic approach to Lagrangian flow networks.

    Naoya Fujiwara, Kathrin Kirchen, Jonathan F. Donges, Reik V. Donner

    pág. 35813

    
  • Seleccionado

    Regenerating time series from ordinal networks.

    Michael McCullough, Konstantinos Sakellariou, Thomas Stemler, Michael Small

    pág. 35814

    
  • Seleccionado

    Inferring directed climatic interactions with renormalized partial directed coherence and directed partial correlation.

    Giulio Tirabassi, Linda Sommerlade, Cristina Masoller Alonso

    pág. 35815