
How to fit quadratic function with plateau condition?
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madhuri dubey
am 23 Jul. 2018
Kommentiert: Srishti Vishwakarma
am 16 Jan. 2019
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].
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Matt J
am 23 Jul. 2018
Bearbeitet: Matt J
am 23 Jul. 2018
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 Kommentare
Matt J
am 23 Jul. 2018
Because Matlab cannot recognize the function F(). You pasted it somewhere that makes it invisible.
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