Project 3 can be selected only if both Projects 1 and 2 are selected, but if both Projects 1 and 2 are selected, Project 3 doesn't have to be selected. The appropriate constraint would be x3>=x1+x2 x1+x2>=x3 O x1>=x3 and x2>=x3 x1+x2+x3<=2 None of the above

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ChapterP: Prerequisites: Fundamental Concepts Of Algebra
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### Constraining Project Selection in Linear Programming

**Scenario:**
- Project 3 **can be selected only if both** Projects 1 and 2 are selected.
- However, if both Projects 1 and 2 are selected, Project 3 **does not necessarily have to be selected**.

**Question:**
What is the appropriate constraint for this scenario?

**Options:**
1. \( x_3 \geq x_1 + x_2 \)
2. \( x_1 + x_2 \geq x_3 \)
3. \( x_1 \geq x_3 \) and \( x_2 \geq x_3 \)
4. \( x_1 + x_2 + x_3 = 2 \)
5. None of the above

**Explanation:**
Each option represents a potential constraint in a linear programming model to ensure the projects are selected based on the defined conditions. It is key in understanding how to formulate constraints that express the logical conditions given.

### Detailed Analysis of Options:

1. **\( x_3 \geq x_1 + x_2 \)**:
   This option implies that Project 3 can only be selected if the combined selection values of Projects 1 and 2 exceed or match Project 3’s value. This is incorrect because it does not ensure both Projects 1 and 2 must be selected before Project 3 is considered.

2. **\( x_1 + x_2 \geq x_3 \)**:
   This implies that the selection of Project 3 can only occur if Projects 1 and 2 together meet or exceed the value of Project 3. This does not impeccably capture the requirement.

3. **\( x_1 \geq x_3 \) and \( x_2 \geq x_3 \)**:
   This suggests that Projects 1 and 2 each need to be at least as large as Project 3, individually. This is a more complex condition but still not entirely correct as it doesn't assure the required combination.

4. **\( x_1 + x_2 + x_3 = 2 \)**:
   This equality constraint is not appropriate as it specifically constrains the combined values of Projects 1, 2, and 3 to be 2, which is restrictive and incorrect for the problem’s requirements.

5. **None of the above**:
Transcribed Image Text:### Constraining Project Selection in Linear Programming **Scenario:** - Project 3 **can be selected only if both** Projects 1 and 2 are selected. - However, if both Projects 1 and 2 are selected, Project 3 **does not necessarily have to be selected**. **Question:** What is the appropriate constraint for this scenario? **Options:** 1. \( x_3 \geq x_1 + x_2 \) 2. \( x_1 + x_2 \geq x_3 \) 3. \( x_1 \geq x_3 \) and \( x_2 \geq x_3 \) 4. \( x_1 + x_2 + x_3 = 2 \) 5. None of the above **Explanation:** Each option represents a potential constraint in a linear programming model to ensure the projects are selected based on the defined conditions. It is key in understanding how to formulate constraints that express the logical conditions given. ### Detailed Analysis of Options: 1. **\( x_3 \geq x_1 + x_2 \)**: This option implies that Project 3 can only be selected if the combined selection values of Projects 1 and 2 exceed or match Project 3’s value. This is incorrect because it does not ensure both Projects 1 and 2 must be selected before Project 3 is considered. 2. **\( x_1 + x_2 \geq x_3 \)**: This implies that the selection of Project 3 can only occur if Projects 1 and 2 together meet or exceed the value of Project 3. This does not impeccably capture the requirement. 3. **\( x_1 \geq x_3 \) and \( x_2 \geq x_3 \)**: This suggests that Projects 1 and 2 each need to be at least as large as Project 3, individually. This is a more complex condition but still not entirely correct as it doesn't assure the required combination. 4. **\( x_1 + x_2 + x_3 = 2 \)**: This equality constraint is not appropriate as it specifically constrains the combined values of Projects 1, 2, and 3 to be 2, which is restrictive and incorrect for the problem’s requirements. 5. **None of the above**:
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