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Hyman, J.M. and Shashkov, M. (1997) Natural Discretizations for the Divergence, Gradient, and Curl on Logically Rectangular Grids. Computers & Mathematics with Applications, 33, 81-104.
https://doi.org/10.1016/S0898-1221(97)00009-6

has been cited by the following article:

• TITLE: Depth Analysis of Gradient in Teaching

  AUTHORS: Wenbing Wu, Rihua Liu

  KEYWORDS: Gradient, Spatial Thinking, Quantitative Method

  JOURNAL NAME: Natural Science, Vol.13 No.12, December 10, 2021

  ABSTRACT: Gradient and divergence are the basis of electromagnetic field theory, and have been a special difficulty in mathematical theory. Understanding these concepts requires strong spatial and abstract thinking. In this paper, through the graphical and quantitative methods, the significance of gradient representation is clearly displayed in the form of graphics.