Linear Derivatives¶
- linear_derivatives(first_constant, second_constant, precision=4)¶
Calculates the first and second derivatives of a linear function
- Parameters
first_constant (int or float) – Coefficient of the linear term of the original linear 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 linear 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
derivatives[‘first’][‘constants’] (list of float) – Coefficients of the resultant first derivative
derivatives[‘first’][‘evaluation’] (func) – Function for evaluating the resultant first derivative at any float or integer argument
derivatives[‘second’][‘constants’] (list of float) – Coefficients of the resultant second derivative
derivatives[‘second’][‘evaluation’] (func) – Function for evaluating the resultant second derivative at any float or integer argument
Notes
Standard form of a linear function: \(f(x) = a\cdot{x} + b\)
First derivative of a linear function: \(f'(x) = a\)
Second derivative of a linear function: \(f''(x) = 0\)
Examples
- Import linear_derivatives function from regressions library
>>> from regressions.analyses.derivatives.linear import linear_derivatives
- Generate the derivatives of a linear function with coefficients 2 and 3, then display the coefficients of its first and second derivatives
>>> derivatives_constants = linear_derivatives(2, 3) >>> print(derivatives_constants['first']['constants']) [2.0] >>> print(derivatives_constants['second']['constants']) [0.0]
- Generate the derivatives of a linear function with coefficients -2 and 3, then evaluate its first and second derivatives at 10
>>> derivatives_evaluation = linear_derivatives(-2, 3) >>> print(derivatives_evaluation['first']['evaluation'](10)) -2.0 >>> print(derivatives_evaluation['second']['evaluation'](10)) 0.0
- Generate the derivatives of a linear function with all inputs set to 0, then display the coefficients of its first and second derivatives
>>> derivatives_zeroes = linear_derivatives(0, 0) >>> print(derivatives_zeroes['first']['constants']) [0.0001] >>> print(derivatives_zeroes['second']['constants']) [0.0]