How to fit quadratic function with plateau condition?
5 次查看(过去 30 天)
显示 更早的评论
I want to fit quadratic function with plateau condition
(y=a(x+n)^2+b(x+n)+c, x < xc(Ymax) ;
y=yp, x >= xc(Ymax).
Where a,b,c & n are constants, and xc is critical value at which y is maximum. My data is x=[0,80,100,120,150], y=[1865,3608,4057,4343,4389].
0 个评论
采纳的回答
Matt J
2018-7-23
编辑:Matt J
2018-7-23
LSQCURVEFIT seems to do a decent job. There was no guarantee that it would work - it's not clear to me that the model function has a well-defined Jacobian.
x=[0,80,100,120,150],
y=[1865,3608,4057,4343,4389]
p0=[0,polyfit(x,y,1)];
[p,resnorm,residual,exitflag,output] = lsqcurvefit(@F,p0, x,y,[],[0,inf,inf]);
a=p(1);
b=p(2);
c=p(3);
n=0; %redundant parameter
plot(x,y,'--*',x,polyval(p,x),'-');
xlabel 'x'
ylabel 'y'
function fval=F(p,xdata)
[a,b,c]=deal(p(1), p(2), p(3));
xc=-b/2/a;
if ~isfinite(xc),
xc=inf;
yp=inf;
else
yp=polyval(p,xc);
end
fval=polyval(p,xdata);
fval(xdata>xc)=yp;
end
6 个评论
Matt J
2018-7-23
Because Matlab cannot recognize the function F(). You pasted it somewhere that makes it invisible.
更多回答(2 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!