How to use least square fit in MATLAB to find coefficients of my polynomial?
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Majid Vaghari
el 3 de Feb. de 2021
Comentada: Jeff Miller
el 5 de Feb. de 2021
I have some experimnetal data for H and I like to use lease square method with matlab to fit my data with my polynomial (attached file is polynomial)
Ci is the atomic fraction of element. i have 5 elements .
I have the experimnetla data. how can i use matlab for this least square fit?
0 comentarios
Respuesta aceptada
Jeff Miller
el 3 de Feb. de 2021
% It sounds like you have data arrays like these:
nPoints = 100;
H = rand(nPoints,1);
C = rand(nPoints,5);
% If so, compute the least square estimates of the a's and b's with this:
Csqr = C.^2;
ab_ests = regress(H,[C Csqr]);
% the first 5 values of ab_ests are the estimates of the a's,
% and the second 5 are the estimates of the b's
2 comentarios
Jeff Miller
el 5 de Feb. de 2021
Please "accept" the answer to indicate that the question has been resolved.
Más respuestas (0)
Ver también
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!