Ideal for data sets where independent variables are equally spaced.
Algorithms are presented logically, making it easy for students to translate the mathematics into programming languages like Python, C++, or MATLAB. Ideal for data sets where independent variables are
Improves accuracy by averaging slopes.
When explicit functions are missing or too complex to integrate analytically, calculus must be performed numerically. Ideal for data sets where independent variables are
Errors stemming from simplifying mathematical formulas (e.g., using a Taylor series approximation). 2. Interpolation Ideal for data sets where independent variables are