error when using lsqnonlin to function containing fzero function
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Haotian
el 13 de Sept. de 2024
I want to use lsqnonlin analysis to fit a model to two sets of data and obtain values of 4 variables. The function i created contains fzero function which only allows scalar values and i finally got the error 'operands to the || and && operators ust be convertible to logical scalar values. ' So is there any other method that can replace lsqnonlin to solve my problem? Or any corrections, changes to be made in my code to solve this with lsqnonlin? Thanks! Here's my function file and code.
function Result = myfunc1(a,p,G,m,fraction)
totalconcentration = 0.0000291;
n = 2;
K = exp(-((G + m * fraction)./(8.314*298)));
g_lb = 0;
g_ub = 0.9999;
g =[g_lb g_ub];
monomerconcentration = fzero(@denaturationfun,g);
function y = denaturationfun(x)
y = a.^(-1).*(((a.*x).^(n+1)).*(n.*a.*x-n-1)/((a.*x-1).^2)+a.*x/((a.*x-1).^2))-a.^(n-1).*((x^(n+1)).*(n.*x-n-1)/((x-1).^2))-K.*totalconcentration;
end
Result = p * (1- (monomerconcentration / ( K * totalconcentration )));
end
clc;
clear;
close all;
fractiondata = [0.1505 0.1546 0.1587 0.1628 0.1668 0.1708 0.1748 0.1787 0.1825 0.1864 0.1902 0.194 0.1977 0.2014 0.205 0.2087 0.2123];
DegreeofAggdata = [1 0.9087 0.8658 0.83453 0.79569 0.67979 0.62031 0.53043 0.39722 0.25888 0.15171 0.04759 0.00109 3.20E-04 0.00144 7.77E-04 0];
fun = @(x)DegreeofAggdata - myfunc1(x(1),x(2),x(3),x(4),fractiondata);
x0 = [0.01,0.9,-50000,100000];
lb = [0.00001,0.9,-100000,20000];
ub = [1,1.1,-10000,130000];
x = lsqnonlin(fun,x0,lb,ub);
0 comentarios
Respuesta aceptada
Torsten
el 13 de Sept. de 2024
Movida: Torsten
el 13 de Sept. de 2024
"K" is a vector because "fraction" is a vector. Thus the "y" you compute in "denaturationfun" is a vector. But "fzero" cannot solve systems of nonlinear equations.
So either use "fsolve" or call "fzero" in a loop over all K-values.
0 comentarios
Más respuestas (0)
Ver también
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!