Big Data Technology and Applications

@inproceedings{Chen2015BigDT,
  title={Big Data Technology and Applications},
  author={Wenguang Chen and Guisheng Yin and Gansen Zhao and Qilong Han and Weipeng Jing and Guanglu Sun and Zeguang Lu},
  booktitle={Communications in Computer and Information Science},
  year={2015}
}
Recently, Bai et al. [Modified HSS iteration methods for a class of complex symmetric linear systems, computing, 87 (2010), 93–111] introduced and analyzed a modification of the Hermitian and skew-Hermitian splitting iteration method for solving a broad class of complex symmetric linear systems. In this paper, based on the Modified HSS iteration methods (MHSS) designed by Bai et al., we present a general MHSS iteration method for a class of complex symmetric linear systems. Moreover, we analyze… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 33 REFERENCES

The global distribution of population: evaluating the gains in resolution refinement

D. Balk, G. Yetman
  • New York: Center for International Earth Science Information Network (CIESIN), Columbia University
  • 2004
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

The global distribution of population: evaluating the gains in resolution refinement

D. Balk, G. Yetman
  • New York: Center for International Earth Science Information Network (CIESIN), Columbia University
  • 2004
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Final report

World telecommunication development conference wtdc-14
  • Technical report, International Telecommunication Union, (ITU, Dubai, United Arab Emirates)
  • 2014
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Large-scale spatial population databases in infectious disease research

  • International Journal of Health Geographics
  • 2012
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Population mapping of poor countries

VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Transforming Population Data for Interdisciplinary Usages: From Census to Grid

U. Deichmann, D. Balk, G. Yetman
  • Center for International Earth Science Information Network, Washington DC
  • 2001
VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

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