Hello
Please could you help me to select the most appropriate/fastest function to use
for the following constraint optimisation issue?
Objective function:
Min: Sum( (X[i] - S[i] )^2)
Subject to constraint :
Sum (B[i] x X[i]) =0
where i=1��n and S[i] and B[i] are real numbers
Need to solve for X
Example:
Assume n=3
S <- c(-0.5, 7.8, 2.3)
B <- c(0.42, 1.12, 0.78)
Many thanks
AY
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