How to get coefficients for second degree polynomial with only two given boundary conditions (means with two equations but with three coefficients)?
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I have Energy displacement numeric data in which Energy follows second degree polynomial (Ax^2+Bx+C) as given below;
x (disp) = [ 0 1 2 3]; E (energy) = [0 1 4.5 10.5];
Consider first point x = 0 and 1, gives
0 = C1;
1 = A1+B1+C1;
Consider second point x = 1 and 2, gives
1 = A2+B2+C2;
4.5 = 4A2+2B2+C2;
But I have two equations with three coefficients, is there anyway numeric approximation method in matlab to solve for three coefficients with two equations?
David Goodmanson on 9 Apr 2022
Edited: David Goodmanson on 9 Apr 2022
x = [ 0 1 2 3];
E = [0 1 4.5 10.5];
c = polyfit(x,E,2) % fit a quadratic
E1 = polyval(c,x)
1.2500 -0.2500 -0.0000
polyfit fits a quadratic (resulting coefficients are in c) to the four points in a least squared error sense. It so happens that the four points exactly fit the resulting quadratic.