Linear Optimization, Healthcare, Linear Programming, Analytics, R Programming.
rhs <- c(15000, 17400,2400,8000,4000,3000,3520,4200,4800,4880,9000,9000,6000) # Define the constraint types (<= and =) # con_types <- c(rep(">=", 10)) con_types <- c("=","<=","=","=","=","=","=","=","=","=","<=","=","=") # Set the problem type (minimization) lp_model <- lp("min", obj_coefficients,