I am using CVXR
to solve a concave objective function. The decision variable (x
) is one-dimensional and the objective function is the summation of 2 logarithmic terms in which the second term is exponential with different bases of “a
and b
” (e.g., a^x
, b^x
); “a
and b
” are constants.
My full objective function is:
(-x*sum(ln(y))) + ln((1-x)/((a^(1-x))-(b^(1-x))))
where y
is a given 1-D vector of data.
When I add the second term having (a^x
and b^x
) to the objective function, I keep getting
Error in a^(1 - x): non-numeric argument to binary operator
Is there any atom function in CVXR
that can be used to code constant^x
?
Here is my code:
library(CVXR)
a <- 7
b <- 0.3
M=1000
x_i # is a given vector of 1-D data
x <- Variable(1)
nominator <- (1-x)
denominator <- (1/((a^(1-x))-(b^(1-x))))
obj <- (-xsum(log(x_i)) + Mlog(nominator/denominator)) # change M to the length of X_i later
constr <- list(x>0)
prob <- Problem(Maximize(obj), constr)
result <- solve(prob)
alpha_hat <- result$getValue(x)
Please tell me what I am doing wrong. I appreciate your help in advance.