Efficient initials for computing maximal eigenpair

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Cite
Chen, Mu-Fa. “Efficient Initials for Computing Maximal Eigenpair”. Frontiers of Mathematics in China, vol. 11, no. 6, 2016, pp. 1379-18, https://doi.org/10.1007/s11464-016-0573-4.
Chen, M.-F. (2016). Efficient initials for computing maximal eigenpair. Frontiers of Mathematics in China, 11(6), 1379-1418. https://doi.org/10.1007/s11464-016-0573-4
Chen, Mu-Fa. “Efficient Initials for Computing Maximal Eigenpair”. Frontiers of Mathematics in China 11, no. 6 (2016): 1379-1418. https://doi.org/10.1007/s11464-016-0573-4.
Chen MF. Efficient initials for computing maximal eigenpair. Frontiers of Mathematics in China. 2016;11(6):1379-418.
Journal Category
Science
Mathematics
Refrences
Title Journal Journal Categories Citations Publication Date
Multiple linear regression with compositional response and covariates Journal of Applied Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 17 2016
Unified representation of formulas for single birth processes Frontiers of Mathematics in China
  • Science: Mathematics
 13 2014
Speed of stability for birth-death processes Frontiers of Mathematics in China
  • Science: Mathematics
 42 2010
10.1007/BF02881877 2001
10.1007/BF02898239 2000
Citations
Title Journal Journal Categories Citations Publication Date
Computing top eigenpairs of Hermitizable matrix Frontiers of Mathematics in China
  • Science: Mathematics
 2021
Development of powerful algorithm for maximal eigenpair Frontiers of Mathematics in China
  • Science: Mathematics
 4 2019
Improved global algorithms for maximal eigenpair Frontiers of Mathematics in China
  • Science: Mathematics
 2019
Efficient algorithm for principal eigenpair of discrete p-Laplacian Frontiers of Mathematics in China
  • Science: Mathematics
 1 2018
Approximation theorem for principle eigenvalue of discrete p-Laplacian Frontiers of Mathematics in China
  • Science: Mathematics
 2018
Citations Analysis
Category Category Repetition
Science: Mathematics6
The category Science: Mathematics 6 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Global algorithms for maximal eigenpair and was published in 2017. The most recent citation comes from a 2021 study titled Computing top eigenpairs of Hermitizable matrix. This article reached its peak citation in 2019, with 2 citations. It has been cited in 1 different journals. Among related journals, the Frontiers of Mathematics in China cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year