Python
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  1. Generate a Pseudo-Vandermonde matrix of given degree and x, y, z floating array of points in Python

  2. Generate a Pseudo-Vandermonde matrix of given degree and x, y, z complex array of points in Python

  3. Return the companion matrix of a 1-D array of polynomial coefficients in Python

  4. Get the Least-squares fit of a polynomial to data in Python

  5. Remove small trailing coefficients from a polynomial in Python

  6. Add one Chebyshev series to another in Python

  7. Subtract one Chebyshev series from another in Python

  8. Multiply a Chebyshev series by an independent variable in Python

  9. Differentiate a Hermite_e series with multidimensional coefficients over specific axis in Python

  10. Differentiate a Hermite_e series with multidimensional coefficients over axis 1 in Python

  11. Evaluate a 2-D Hermite_e series on the Cartesian product of x and y with 1d array of coefficient in Python

  12. Evaluate a 3-D Hermite_e series on the Cartesian product of x, y and z in Python

  13. Evaluate a 3-D Hermite_e series on the Cartesian product of x, y and z with 4d array of coefficient in Python

  14. Evaluate a 3-D polynomial at points (x, y, z) with 2D array of coefficient in Python

  15. Evaluate a Chebyshev series at points x and the shape of the coefficient array extended for each dimension of x in Python

  16. Evaluate a Chebyshev series at points x broadcast over the columns of the coefficient in Python

  17. Evaluate a 2-D Chebyshev series at points (x, y) in Python

  18. Evaluate a 3-D polynomial on the Cartesian product of x, y and z in Python

  19. Evaluate a 2-D Chebyshev series at points (x, y) with 1D array of coefficient in Python

  20. Evaluate a 3-D Chebyshev series at points (x, y, z) with 2D array of coefficient in Python

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