JUN ZHOU

Train_Sample colud contain float variables, not just integers.

Thanks for your reply. I just tried as you said. So,ethimg is wrong. Here is my code. import numpy as npimport mathimport pandas as pdimport gurobipy as gpfrom gurobipy import GRB def SP_opt_P(c,r,...

Train_Sample=[1,2,3,4,5,6,7,8,9,10]c=5p=20SP_opt_P(c,p,Train_Sample) The optimal order should be $y=8$, and the profit should be $64$. But when  I add the count variables, the optimal order amount ...

Thanks for your reply. Suppose I'm considering a news vendor problem and define a function to compute the optimal order quantity. During the process, I'm curious how will the count variables vary. ...

Let me be clear. count varaiables  vary with y. I need the values of count for each y, not just the final optimal y.

Thanks for your reply. Yes, I'm trying to model $Train_Sample [k] <=y$ for each $k$. The count variables are binary and Train_Sample are contain continuous values. I tried your code, but it says "i...

For example, $TrainSample=[1,2,3,4,5]$, optimal $y=3$, the count should be $[1,1,1,0,0]$, that's what I expect