Final answer:
To interpolate a polynomial in MATLAB, we can create a function that uses polyfit to obtain the coefficients for a polynomial of a specific order based on the given data points. This function can then be tested with two different data sets of specific sizes with randomly generated y values.
Step-by-step explanation:
To write a MATLAB function that outputs the coefficients of a polynomial of order m = n-1 that interpolates given data points (xi, yi i = 1 ... n), we can use the built-in polyfit function. Here is an example of such a function:
function coeffs = interpolatePolynomial(x, y) m = length(x) - 1; coeffs = polyfit(x, y, m); end
You can then test this function with two data sets. For example:
x1 = 1:4; y1 = rand(1, 4); x2 = 1:14; y2 = rand(1, 14); coeffs1 = interpolatePolynomial(x1, y1); coeffs2 = interpolatePolynomial(x2, y2);
Note that the y arrays are generated randomly, so residuals or errors would typically be calculated in a real-world scenario to evaluate the fit of the polynomial.