Effective-Quadratures (EQ): Polynomials for Computational Engineering Studies

  • Seshadri P
  • Parks G
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Abstract

Effective-Quadratures (EQ) is a suite of tools for generating polynomials for parametric computational studies. These polynomials may be used to compute approximations to scientific models; tailored specifically for uncertainty quantification, approximation and numerical integration studies. This is a research code designed for the development and testing of new polynomial techniques in the areas listed above. EQ is written entirely in python and requires Numpy, Scipy and Matplotlib.

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Seshadri, P., & Parks, G. (2017). Effective-Quadratures (EQ): Polynomials for Computational Engineering Studies. The Journal of Open Source Software, 2(11), 166. https://doi.org/10.21105/joss.00166

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