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A random particle blob method for the keller-segel equation and convergence analysis

Publication ,  Journal Article
Liu, JG; Yang, R
Published in: Mathematics of Computation
January 1, 2017

In this paper, we introduce a random particle blob method for the Keller-Segel equation (with dimension d ≥ 2) and establish a rigorous convergence analysis.

Duke Scholars

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Published In

Mathematics of Computation

DOI

ISSN

0025-5718

Publication Date

January 1, 2017

Volume

86

Issue

304

Start / End Page

725 / 745

Related Subject Headings

  • Numerical & Computational Mathematics
  • 4903 Numerical and computational mathematics
  • 4901 Applied mathematics
  • 0802 Computation Theory and Mathematics
  • 0103 Numerical and Computational Mathematics
  • 0102 Applied Mathematics
 

Citation

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Liu, J. G., & Yang, R. (2017). A random particle blob method for the keller-segel equation and convergence analysis. Mathematics of Computation, 86(304), 725–745. https://doi.org/10.1090/mcom/3118
Liu, J. G., and R. Yang. “A random particle blob method for the keller-segel equation and convergence analysis.” Mathematics of Computation 86, no. 304 (January 1, 2017): 725–45. https://doi.org/10.1090/mcom/3118.
Liu JG, Yang R. A random particle blob method for the keller-segel equation and convergence analysis. Mathematics of Computation. 2017 Jan 1;86(304):725–45.
Liu, J. G., and R. Yang. “A random particle blob method for the keller-segel equation and convergence analysis.” Mathematics of Computation, vol. 86, no. 304, Jan. 2017, pp. 725–45. Scopus, doi:10.1090/mcom/3118.
Liu JG, Yang R. A random particle blob method for the keller-segel equation and convergence analysis. Mathematics of Computation. 2017 Jan 1;86(304):725–745.
Journal cover image

Published In

Mathematics of Computation

DOI

ISSN

0025-5718

Publication Date

January 1, 2017

Volume

86

Issue

304

Start / End Page

725 / 745

Related Subject Headings

  • Numerical & Computational Mathematics
  • 4903 Numerical and computational mathematics
  • 4901 Applied mathematics
  • 0802 Computation Theory and Mathematics
  • 0103 Numerical and Computational Mathematics
  • 0102 Applied Mathematics