Hi,
I am using linprog to solve for parameters of the following problem –
minimise -a
subject to constraint : a + b*x < y
The parameter estimates that I get from linprog (a & b), should ideally give me errors which are all positive ie
e = y – a -b*x
e > 0, for all y and x
but few of my errors have value -0.0000
how can I get around this problem?
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A = ones(80,1);
f = [-1;0];
options = optimoptions('linprog','Algorithm','simplex')
p_fit=linprog(f,[A xdata],[ydata],[],[],[-Inf -Inf],[],p_initial,options)
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I have attached data for x and y in an excel file.
Thanks for your help!
Regards, Prachi
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