978 resultados para Natural computing


Relevância:

60.00% 60.00%

Publicador:

Resumo:

Acknowledgements One of us (T. B.) acknowledges many interesting discussions on coupled maps with Professor C. Tsallis. We are also grateful to the anonymous referees for their constructive feedback that helped us improve the manuscript and to the HPCS Laboratory of the TEI of Western Greece for providing the computer facilities where all our simulations were performed. C. G. A. was partially supported by the “EPSRC EP/I032606/1” grant of the University of Aberdeen. This research has been co-financed by the European Union (European Social Fund - ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) - Research Funding Program: THALES - Investing in knowledge society through the European Social Fund.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

The work is supported in part by NSFC (Grant no. 61172070), IRT of Shaanxi Province (2013KCT-04), EPSRC (Grant no.Ep/1032606/1).

Relevância:

60.00% 60.00%

Publicador:

Resumo:

Peer reviewed

Relevância:

60.00% 60.00%

Publicador:

Resumo:

11 pages Acknowledgments MCM thanks Xingbo Yang and Lisa Manning for their contribution to some aspects of the work reviewed here and for fruitful discussions. MCM was supported by NSF-DMR-305184. MCM and AP acknowledge support by the NSF IGERT program through award NSF-DGE-1068780. MCM, AP and DY were additionally supported by the Soft Matter Program at Syracuse University. AP acknowledges use of the Syracuse University HTC Campus Grid which is supported by NSF award ACI-1341006. YF was supported by NSF grant DMR-1149266 and the Brandeis Center for Bioinspired Soft Materials, an NSF MRSEC, DMR-1420382.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

31 pages

Relevância:

60.00% 60.00%

Publicador:

Resumo:

20 pages

Relevância:

60.00% 60.00%

Publicador:

Resumo:

Acknowledgements MW and RVD have been supported by the German Federal Ministry for Education and Research via the BMBF Young Investigators Group CoSy-CC2 (grant 18 Marc Wiedermann et al. no. 01LN1306A). JFD thanks the Stordalen Foundation and BMBF (project GLUES) for financial support. JK acknowledges the IRTG 1740 funded by DFG and FAPESP. Coupled climate network analysis has been performed using the Python package pyunicorn (Donges et al, 2015a) that is available at https://github.com/pik-copan/pyunicorn.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

The author is supported by an NSERC PDF.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

Acknowledgement One of us (AP) wishes to acknowledge S. Flach for enlightening discussions about the relationship between the DNLS equation and the rotor model.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

Peer reviewed

Relevância:

60.00% 60.00%

Publicador:

Resumo:

Funding For M.C., the major part of the work on this article was carried out while he was affiliated with the Interdisciplinary Centre for Security, Reliability and Trust at the University of Luxembourg. His research was supported by the National Research Fund, Luxembourg (LAAMI project), as well as by the Engineering and Physical Sciences Research Council (EPSRC, UK), grant ref. EP/J012084/1 (SAsSY project). For S.V., the major part of the work on this article was carried out while he was affiliated with the Computer Science and Communication Research Unit at the University of Luxembourg. He worked on this article during the tenure of an ERCIM Alain Bensoussan Fellowship Programme, which is supported by the Marie Curie Co-funding of Regional, National and International Programmes (COFUND) of the European Commission. During this time, he was also funded by the National Research Fund, Luxembourg. When finishing the work on this article, he was a CRNS researcher affiliated with CRIL