How to find exact function and minimum values in interpolated datasets
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assume that i have some matrix like
a=[1,2,3,4,5,6,7,8,9,10,11]
E=[2,4,6,8,10,12,14,16,18,20,22]
how can i find the exact function data like E=2*a ???
and i want to find the minimum value(local or anything)
in interpolated function...
x=cOverawithsameV(:,1); y=EV(:,1); xx=linspace(min(x),max(x),1000); fun1=spline(x,y,xx); fminsearch(fun1,min(y))
this doesn't work since the fun1 is not a function...
what should i do to find the local minimum values in this interpolated datasets..?
the function has a parabolic shape
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Accepted Answer
Matt J
on 10 Dec 2012
fun1=@(z) spline(x,y,z);
fminsearch(fun1,min(y))
2 Comments
Matt J
on 11 Dec 2012
Then why did you accept it?
My guess (that's all we can do without more info about "doesn't work") is that you're not initializing fminsearch where you need to:
fun1=@(z) spline(x,y,z);
[minval,idx]=min(y);
fminsearch(fun1,x(idx(1)));
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