Step 1: Understanding the Concept:
The optimal solution (minimum or maximum) of a linear programming problem occurs at one of the corner points of the feasible region defined by the constraints.
Step 2: Detailed Explanation:
1. Determine the corner points of the feasible region:
- Intersection of $x+y=3$ and $x+2y=4$:
Subtracting the first from the second gives $y=1$. Then $x=2$. Point: $(2, 1)$.
- $x$-intercepts of constraints: $x=3$ and $x=4$. Since constraints are $\geq$, the larger intercept $x=4$ is on the boundary. Point: $(4, 0)$.
- $y$-intercepts of constraints: $y=3$ and $y=2$. Since constraints are $\geq$, the larger intercept $y=3$ is on the boundary. Point: $(0, 3)$.
2. The feasible region is unbounded and has corner points: $(4,0), (2,1), (0,3)$.
3. Evaluate the objective function $C = 7x + 10y$ at these corner points:
- At $(4, 0)$: $C = 7(4) + 10(0) = 28$.
- At $(2, 1)$: $C = 7(2) + 10(1) = 24$.
- At $(0, 3)$: $C = 7(0) + 10(3) = 30$.
Comparing the values, the minimum value is 24, occurring at $(2, 1)$.
Step 3: Final Answer:
The minimum occurs at the point $(2,1)$.