Logarithmic Integral¶
- logarithmic_integral(first_constant, second_constant, precision=4)¶
Generates the integral of a logarithmic function
- Parameters
first_constant (int or float) – Coefficient of the logarithmic term of the original logarithmic function; if zero, it will be converted to a small, non-zero decimal value (e.g., 0.0001)
second_constant (int or float) – Coefficient of the constant term of the original logarithmic function; if zero, it will be converted to a small, non-zero decimal value (e.g., 0.0001)
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; if zero inputted as argument, it will be converted to a small, non-zero decimal value (e.g., 0.0001)
See also
logarithmic_equation(),logarithmic_derivatives(),logarithmic_roots(),logarithmic_model()Notes
Standard form of a logarithmic function: \(f(x) = a\cdot{\ln{x}} + b\)
Integral of a logarithmic function: \(F(x) = a\cdot{x}\cdot(\ln{x} - 1) + b\cdot{x}\)
Examples
- Import logarithmic_integral function from regressions library
>>> from regressions.analyses.integrals.logarithmic import logarithmic_integral
- Generate the integral of a logarithmic function with coefficients 2 and 3, then display its coefficients
>>> integral_constants = logarithmic_integral(2, 3) >>> print(integral_constants['constants']) [2.0, 3.0]
- Generate the integral of a logarithmic function with coefficients -2 and 3, then evaluate its integral at 10
>>> integral_evaluation = logarithmic_integral(-2, 3) >>> print(integral_evaluation['evaluation'](10)) 3.9483
- Generate the integral of a logarithmic function with all inputs set to 0, then display its coefficients
>>> integral_zeroes = logarithmic_integral(0, 0) >>> print(integral_zeroes['constants']) [0.0001, 0.0001]