The source code and dockerfile for the GSW2024 AI Lab.
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/*Quadratic Curve Fitting Solution
Find a plausable quadratic fit to a sample of points
Nigel_Galloway@operamail.com February 1st., 2009 */ set Sample; param Sx {z in Sample}; param Sy {z in Sample};
var a; var b; var c;
equalz1 :sum{z in Sample} a*Sx[z]*Sx[z]*Sx[z]*Sx[z] + sum{z in Sample} b*Sx[z]*Sx[z]*Sx[z] + sum{z in Sample} c*Sx[z]*Sx[z] = sum{z in Sample} Sy[z]*Sx[z]*Sx[z]; equalz2 :sum{z in Sample} a*Sx[z]*Sx[z]*Sx[z] + sum{z in Sample} b*Sx[z]*Sx[z] + sum{z in Sample} c*Sx[z] = sum{z in Sample} Sy[z]*Sx[z]; equalz3 :sum{z in Sample} a*Sx[z]*Sx[z] + sum{z in Sample} b*Sx[z] + sum{z in Sample} c = sum{z in Sample} Sy[z];
solve;
printf "\nbest quadratic fit is:\n\ty = %f %s %fx %s %fx^2\n\n", c, if b < 0 then "-" else "+", abs(b), if a < 0 then "-" else "+", abs(a);
data;
param: Sample: Sx Sy := 1 0 1 2 0.5 0.9 3 1 0.7 4 1.5 1.5 5 1.9 2 6 2.5 2.4 7 3 3.2 8 3.5 2 9 4 2.7 10 4.5 3.5 11 5 1 12 5.5 4 13 6 3.6 14 6.6 2.7 15 7 5.7 16 7.6 4.6 17 8.5 6 18 9 6.8 19 10 7.3 ;
end;
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