require("ROI")
A <- cbind(c(-4, -3, 0),
c( 2, 1, 0),
c( 0, -2, 1))
x <- OP(Q_objective(diag(3), L = c(0, -5, 0)),
L_constraint(L = t(A),
dir = rep(">=", 3),
rhs = c(-8, 2, 0)))
opt <- ROI_solve(x, solver="quadprog")
opt
## Optimal solution found.
## The objective value is: -2.380952e+00
solution(opt)
## [1] 0.4761905 1.0476190 2.0952381
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