Pregunta
Given constraints:
Explain the steps for maximizing the objective
function
.
Explain the steps for maximizing the objective
function
Ask by Carroll Chan. in the United States
Mar 22,2025
Solución de inteligencia artificial de Upstudy
Respuesta verificada por el tutor
Responder
To maximize
with the constraints
,
,
, and
, evaluate
at the vertices
,
,
, and
. The maximum value of
is 32 at
.
Solución
Step 1. Write Down the Constraints and Objective Function
We are given the constraints:
and the objective function to maximize is
Step 2. Simplify the Constraints
Divide the inequality
by 2 to obtain:
Thus, the constraints become:
Step 3. Identify the Feasible Region
The constraints
and
restrict the solution to the first quadrant. The inequalities
describe two parallel lines. The feasible region is the set of points in the first quadrant that lie between (or on) the lines:
Step 4. Determine the Corner Points (Vertices) of the Feasible Region
Find the intersections of the constraint boundaries:
-
Intersection of
and : -
Intersection of
and : -
Intersection of
and : -
Intersection of
and :
Thus, the vertices of the feasible region are:
Step 5. Evaluate the Objective Function at Each Vertex
Substitute each vertex into the objective function
:
-
At
: -
At
: -
At
: -
At
:
Step 6. Determine the Maximum Value
Among the calculated values, the maximum value is:
Conclusion
The objective function
is maximized at
with a maximum value of
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Como
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The Deep Dive
To solve this linear programming problem and maximize the objective function
under the given constraints, follow these steps:
-
Identify the Feasible Region: Start by graphing the constraints. Convert them into equalities:
- For
, rearranging gives . - For
, rearranging gives . - Also, remember the non-negativity constraints
and .
- For
-
Plot the Constraints: Draw the lines representing
and on a graph along with the axes. Shade the feasible region where all constraints overlap. -
Find the Vertices of the Feasible Region: Identify the intersection points (vertices) of the lines you’ve drawn. These vertices are potential candidates for maximizing
. The corners will typically be: - Intersection of
and the axes. - Intersection of
and the or axis. - The intersection of the two lines.
- Intersection of
-
Evaluate the Objective Function at Each Vertex: Plug in the coordinates of each vertex into the objective function
to find which gives the maximum value. -
Select the Maximum Value: The vertex that yields the highest value of
from the previous step is the solution to your linear programming problem.
Enjoy solving linear programming problems—they are like puzzles that unlock the secrets of optimization!

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