Exponential Integral

exponential_integral(first_constant, second_constant, precision=4)

Generates the integral of an exponential function

Parameters
  • first_constant (int or float) – Constant multiple of the original exponential function; if zero, it will be converted to a small, non-zero decimal value (e.g., 0.0001)

  • second_constant (int or float) – Base rate of variable of the original exponential function; if zero, it will be converted to a small, non-zero decimal value (e.g., 0.0001); if one, it will be converted to a small, near-one decimal value (e.g., 1.0001)

  • precision (int, default=4) – Maximum number of digits that can appear after the decimal place of the resultant roots

Raises
  • TypeError – First two arguments must be integers or floats

  • ValueError – Last argument must be a positive integer

Returns

  • integral[‘constants’] (list of float) – Coefficients of the resultant integral

  • integral[‘evaluation’] (func) – Function for evaluating the resultant integral at any float or integer argument

Notes

Examples

Import exponential_integral function from regressions library
>>> from regressions.analyses.integrals.exponential import exponential_integral
Generate the integral of an exponential function with coefficients 2 and 3, then display its coefficients
>>> integral_constants = exponential_integral(2, 3)
>>> print(integral_constants['constants'])
[1.8205, 3.0]
Generate the integral of an exponential function with coefficients -2 and 3, then evaluate its integral at 10
>>> integral_evaluation = exponential_integral(-2, 3)
>>> print(integral_evaluation['evaluation'](10))
-107498.7045
Generate the integral of an exponential function with all inputs set to 0, then display its coefficients
>>> integral_zeroes = exponential_integral(0, 0)
>>> print(integral_zeroes['constants'])
[-0.0001, 0.0001]