Hello,
You can try spline interpolation and numerical derivatives on that spline
//function for spline interpolation of x-y data
deff ('[yk] = fspline(xx,x,y)', ...
'yk=interp(xx, x, y, splin(x,y))');
//
//Use the spline for finding derivatives
//
a=10 //give the point
numdiff(fspline,a) //find the derivative at the point
//derivatives at the x points
for i=1:length(x)
dy(i) = numdiff(fspline,x(i));
mprintf('x=%i, dy=%f\n',x(i),dy(i))
end
Regards,
Radovan
On 3/22/2014 7:00 PM, Samuel Enibe wrote:
I would like to use the functions *derivative* or *numdiff* to
numerically differentiate a tabulated data such as
x = [0 2 5 20 40 60 80]';//time in minutes
y = [0.0956820 0.0480457 0.0277857 0.0036214 0.0002543 0.0002543
0.0001265]';//values of y
May I know the best way to determine dy/dx for the data set.
Thank you very much and God bless you
Samuel Ogbonna Enibe
University of Nigeria, Nsukka, Nigeria
Tel: +2348063646798
Email: [email protected] <mailto:[email protected]>
[email protected] <mailto:[email protected]>
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