windows7lover
commented
3 years ago Hello,
Thank you for reaching us. I will try to answer your questions.
A) You can do a max function using linear constraint as follow. Instead of
energy (1,t) * 10 + max( energy(1,1:t) ),
you can create a new variable, says "y", and write
energy (1,t) * 10 + y s.t. y >= energy(1,1:t)
Since you are minimizing, y will always be tight to the maximum value of energy(1,1:t).
B) In such case, at stage t with realization xi, you take the corresponding node n(t, xi) and you solve the associated problem, given your previous decision at previous stages. This will give you the best solution. i,e,. the solution that minimizes (in expectation) your objective.
C) In that case, you can create one extra node at the beginning that does nothing. This will give you the possibility to simulate the fact that you start with 3 nodes at stage 1.
I hope those answers will help you, do not hesitate to contact us again if you want more details :-).
Best regards,
Damien
Le sam. 13 mars 2021 à 04:18, hssharadga @.***> a écrit :
A) Can I have the max function in the objective function? Is the SDDP able to solve this kind of problem?
For example the objective function: obj = energy (1,t) 10 if t<H obj = energy (1,t) 10 + max (energy(1,1:t)) if t=H I am getting the following error: Error using max Invalid data type. First argument must be numeric or logical.
B) If my problem got solved How can I get the solution that would lead to the best objective function with the highest probability?
C) Why the lattice.randomPath() assumes for the first stage that the selected node is node 1. Let me explain it: in my problem, I assume that I have 3 stages and for each stage, I have 3 nodes. My question: Why this function take random nodes for stage 2 and stage 3 while it assumes the selected node for stage 1 is node number 1.
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hssharadga
A) Can I have the max function in the objective function? Is the SDDP able to solve this kind of problem?
For example the objective function: obj = energy (1,t) 10 if t<H .........................................................................obj = energy (1,t) 10 + max (energy(1,1:t)) if t=H I am getting the following error: Error using max Invalid data type. First argument must be numeric or logical.
B) If my problem got solved How can I get the solution that would lead to the best objective function with the highest probability?
C) Why the lattice.randomPath() assumes for the first stage that the selected node is node 1. Let me explain it: in my problem, I assume that I have 3 stages and for each stage, I have 3 nodes. My question: Why this function take random nodes for stage 2 and stage 3 while it assumes the selected node for stage 1 is node number 1.