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Easy Methods for Three-Dimensional Data

Summary: [This abstract is based on the author's abstract.]

It is rare to find simple, easy-to-use, nonlinear equations for rectangular surfaces and cubical spaces. These are needed by engineers for purposes like modeling the distribution of environmental pollutants. A method for modeling four-point rectangular surfaces using the circular or hyperbolic functions is presented, as are four methods for modeling eight data points in a form of a rectangular prism. Three of the three-dimensional methods are based on principles of the operational calculus.

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  • Topics: Data Quality
  • Keywords: Geometric Dimensioning and Tolerancing (GD&T)
  • Author: Silver, G.L.
  • Journal: Quality Engineering