Answered

1. Symmetry about the origin

2. What is the feasible region in linear programming?
A. The area where all constraints are satisfied
B. The area with the most constraints
C. The area with the least constraints
D. The area where the objective function is maximized

3. Which of the following is not a function?
A. [tex]y = 3x + 2[/tex]
B. A vertical line passing through the x-axis
C. [tex]f(x) = x^2 + 1[/tex]
D. [tex]g(x) = |x|[/tex]

4. What is a problem-solving approach in teaching?
A. A method of teaching that encourages memorization
B. A method of teaching that allows learners to discover solutions
C. A method of teaching that focuses on lectures
D. A method of teaching that discourages critical thinking

5. How can technology enhance education?
A. By creating barriers to learning
B. By providing interactive and engaging learning tools
C. By limiting access to information
D. By reducing student participation



Answer :

GinnyAnswer

Final answer:

Linear programming aims to maximize or minimize a linear function within the feasible region where all constraints are satisfied.


Explanation:

Feasible region in linear programming is the area where all constraints are satisfied, forming a convex polyhedron. The objective is to maximize or minimize a linear function within this region. Linear programming's solutions are at the boundaries of the permissible flux space, following linear and non-negativity constraints.


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