Linear Programming Problem Setup

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Homework Help Overview

The discussion revolves around a linear programming problem where participants are tasked with defining constraints for a maximization problem involving multiple equations for Z. The original poster presents a formulation that aims to maximize Z while ensuring it is the minimum of several Z equations.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss various formulations of constraints, questioning whether to use inequalities like Z < Zi or Z ≤ Zi to guide the optimization process. There is confusion regarding how to incorporate maximization of x within the constraints.

Discussion Status

Some participants have offered alternative formulations for the constraints, suggesting that the original approach may lead to issues. There is an ongoing exploration of how to properly set up the problem, with hints provided for modification without reaching a consensus on the correct formulation.

Contextual Notes

Participants note that the problem, as initially stated, may lead to unbounded solutions, raising concerns about the validity of the approach. There is an emphasis on understanding the implications of maximizing versus minimizing within the context of the problem.

nikki__10234
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We were given this problem in a Linear Programming class and asked to define the constraints.

Homework Statement



max Z = max (xεS) {min {Z1, Z2...Zq}}

where Zi=C1ix1 + C2ix2+...+Cnixn


Homework Equations



Constraints need to be defined to set up the problem.

The Attempt at a Solution



The first few Z equations would be:
Z1=C11x1 + C21x2+...+Cn1xn

Z2=C12x1 + C22x2+...+Cn2xn

Zq=C1qx1 + C2qx2+...+Cnqxn

I think the best way to ensure that the Z is at a minimum is to define the inequalities below:
Z < Z1
Z < Z2
...
Z < Zq

This ensures that we pick the minimum value of Z. But these constraints should also include some way to maximize x and I am confused as to how to include that.
 
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nikki__10234 said:
We were given this problem in a Linear Programming class and asked to define the constraints.

Homework Statement



max Z = max (xεS) {min {Z1, Z2...Zq}}

where Zi=C1ix1 + C2ix2+...+Cnixn


Homework Equations



Constraints need to be defined to set up the problem.

The Attempt at a Solution



The first few Z equations would be:
Z1=C11x1 + C21x2+...+Cn1xn

Z2=C12x1 + C22x2+...+Cn2xn

Zq=C1qx1 + C2qx2+...+Cnqxn

I think the best way to ensure that the Z is at a minimum is to define the inequalities below:
Z < Z1
Z < Z2
...
Z < Zq

This ensures that we pick the minimum value of Z. But these constraints should also include some way to maximize x and I am confused as to how to include that.

As written, your formulation will fail, but it can be modified slightly to work properly. Come back for additional hints when you have dealt with this issue.

RGV
 
Would it work to write the constraints as follows instead of saying Z<Zi. This way you are telling the program to choose the maximum values of x that lead to the minimum Z.

Z ≤ c11x1+...+c1nxn

Z ≤ c21x1+...+c2nxn

...

Z ≤ cq1x1+...+cqnxn
 
nikki__10234 said:
Would it work to write the constraints as follows instead of saying Z<Zi. This way you are telling the program to choose the maximum values of x that lead to the minimum Z.

Z ≤ c11x1+...+c1nxn

Z ≤ c21x1+...+c2nxn

...

Z ≤ cq1x1+...+cqnxn

Why would you want to minimize Z? You were asked to maximize the minimum, not minimize it. Anyway, as written your problem would be unbounded, with Zmin = -∞.

RGV
 

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