For a Linear Programming Problem (LPP), the given objective function \( Z = 3x + 2y \) is subject to constraints: \[ x + 2y \leq 10, \] \[ 3x + y \leq 15, \] \[ x, y \geq 0. \]
The correct feasible region is:
The feasible region of a Linear Programming Problem (LPP) is determined by the intersection of the inequalities.
The feasible region is the set of points that satisfy all the constraints.
- Plot the given constraints on a coordinate plane:
1. \( x + 2y = 10 \) is a straight line.
2. \( 3x + y = 15 \) is another straight line.
3. \( x, y \geq 0 \) represents the first quadrant.
- The feasible region will be bounded by the lines and will be the area that satisfies all these constraints.
From the diagram, the feasible region is the region enclosed by the points \( A, O, E, C \), and the correct region is \( AOEC \).
In a Linear Programming Problem (LPP), the objective function $Z = 2x + 5y$ is to be maximized under the following constraints:
\[ x + y \leq 4, \quad 3x + 3y \geq 18, \quad x, y \geq 0. \] Study the graph and select the correct option.
For a Linear Programming Problem, find min \( Z = 5x + 3y \) (where \( Z \) is the objective function) for the feasible region shaded in the given figure.