Introduction to Optimization: Core practice
10 practice problems for this lesson. Work on paper, use hints when you need them, and check the answer or the full solution when you are ready.
Difficulty: Advanced (beyond the core course) Advanced. This problem set goes beyond core Algebra I. You can skip it.
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Problem 1 Four corners, one objective
A bounded feasible region includes its boundary and has corners , , , and . For the objective , find the value at each corner and state which corner gives the maximum.
- Hint 1
The value at a corner depends only on that corner's own coordinates.
- Hint 2
Work through the four corners one at a time, then compare the four results.
Answer
, , , and ; the maximum 30 is at .
Full solution
Each corner value is twice the first coordinate plus four times the second.
The four corners give
Comparing the four results, the largest is 30, at the corner .
The region is bounded and includes its boundary, so a corner does attain the maximum, and no other feasible point can beat 30.
Answer
, , , and ; the maximum 30 is at .
Key idea
On a bounded region that includes its boundary, evaluating a linear objective at every corner and comparing the values locates the maximum.
- Hint 1
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Problem 2 A liquid order
A liquid order uses liters of A at 4 dollars per liter and liters of B at 7 dollars per liter. Any real amounts are allowed. The order must contain at least 5 liters in all and at least as much A as B. Write a complete linear model for minimizing the cost, including the conditions that keep both amounts from going below zero.
- Hint 1
Separate the quantity being minimized from the conditions that make an order acceptable.
- Hint 2
Add each liquid cost for the objective and translate each quantity condition separately.
Answer
Minimize dollars, subject to , , , and .
Full solution
The total cost in dollars is
This is the objective to minimize.
The total-volume condition is , and the comparison of liquids is .
Both amounts must be zero or positive, so and are also required.
The order satisfies all four conditions, confirming that the model permits an order.
Answer
Minimize dollars, subject to , , , and .
Key idea
A complete optimization model states the objective, every quantity restriction, and the nonnegative domains.
- Hint 1
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Problem 3 Where two limits meet
Two boundary lines of a feasible region are and , and the region has a vertex where these two lines cross. Find that vertex and evaluate there.
- Hint 1
A vertex is the single point lying on both boundary lines at once.
- Hint 2
Solve the two boundary equations as a system, then substitute the solution into the objective.
Answer
The vertex is , where .
Full solution
The crossing point satisfies both equations together.
Solving the first for the second coordinate gives
Substituting that into gives
Then , so and the vertex is .
Both boundary equations check there, since and
Evaluating the objective at that vertex,
Answer
The vertex is , where .
Key idea
A vertex is found by solving the pair of boundary equations that cross there, not by reading the grid.
- Hint 1
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Problem 4 A design region
For real variables, maximize subject to , , and . Sketch the region on paper, copying the blank grid in the figure, then give every vertex and evaluate at each.
A blank grid with from 0 to 6 and from 0 to 5. Text description of this figure
A blank coordinate grid. The horizontal x axis is numbered 0, 1, 2, 3, 4, 5 and 6, and the vertical y axis is numbered 0, 1, 2, 3, 4 and 5, with the origin labeled 0. Faint grid lines run one unit apart in both directions, and each axis carries an arrowhead at its positive end. Nothing is drawn inside the grid: no points, no lines, no shading and no labels.
- Hint 1
Find which corners of the initial rectangle survive the slanted constraint.
- Hint 2
Include crossings where the slanted line cuts a rectangle edge, then compare all vertex values.
Answer
The region is the pentagon with vertices , , , , and . The values are , , , , . Maximum 20 at .
Full solution
The rectangle runs from to 5 and from to 4.
Its corner fails , since .
The line cuts at and at .
The other three rectangle corners survive.
Shade the pentagon with vertices , , , , and , all edges included.
Evaluate the objective:
The maximum is 20 at .
The region is nonempty and bounded with included straight edges, so a vertex attains the maximum.
At the winning point, and both hold, and every other limit holds as well.
Answer
The region is the pentagon with vertices , , , , and . The values are , , , , . Maximum 20 at .
Key idea
Clipping a rectangle can introduce new vertices that must be checked in optimization.
- Hint 1
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Problem 5 A program schedule
A program spends hours on video work and hours on text work. Any real durations are allowed. Each video hour uses 1 unit of studio capacity and each text hour uses 2 units, with at most 12 units available. Video work can receive at most 6 hours, and text work must receive at least 1 hour. Each video hour earns 4 points and each text hour earns 3 points. Write the model and find the greatest score, checking every feasible corner.
- Hint 1
Studio capacity, the video ceiling, and the text minimum are three separate conditions.
- Hint 2
Use the resulting corners to compare the score objective.
Answer
Maximize with , , , . Maximum 33 points at .
Full solution
Each video hour uses 1 unit of capacity and each text hour 2, so the capacity condition is .
The objective is , and the other conditions are , , and ; here follows from .
The included-boundary region has vertices , , , and .
The corner is where meets , and is where meets that same line.
The objective values are
The bounded-region maximum is 33 points at .
That schedule spends 6 hours on video and 3 on text.
It uses units of capacity, the whole allowance, and it clears the one-hour text minimum.
Answer
Maximize with , , , . Maximum 33 points at .
Key idea
A resource story becomes a short comparison once each limit is an inequality and the corners are listed.
- Hint 1
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Problem 6 A strip with no ceiling
Over real variables satisfying and , find the maximum and minimum of each objective and , if they exist. Explain how the unbounded direction affects them.
- Hint 1
Determine whether larger heights increase or decrease each objective.
- Hint 2
Use the finite coordinate limits for one extreme, then examine what happens when the second coordinate grows without bound.
Answer
P: maximum 10 at , no minimum. Q: minimum at , no maximum.
Full solution
Since and ,
Equality occurs at , which is feasible.
Thus the maximum is 10.
The points are feasible for every and give
This decreases without bound as grows, so there is no minimum.
The unbounded direction lowers the objective rather than raising it.
The second objective is the negative of the first:
Hence , with equality at .
Along the same feasible points ,
This grows without bound, so Q has no maximum.
The allowed upward direction lowers P and raises Q.
Answer
P: maximum 10 at , no minimum. Q: minimum at , no maximum.
Key idea
An unbounded direction can destroy a maximum or a minimum depending on the signs in the objective.
- Hint 1
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Problem 7 An allocation request
Maximize over , , and . Find every maximizing point and explain how the vertices identify them.
- Hint 1
The last constraint is already an upper bound on the objective.
- Hint 2
Find the portion of its equality line that remains within the other four bounds.
Answer
Maximum 6 at every point with and , the segment from to .
Full solution
The region has vertices , , , , and .
Their objective values are 0, 4, 6, 6, and 4.
Thus the maximum is 6, reached at both ends of one edge.
Every point on that edge satisfies
Writing , the bounds and restrict its first coordinate to
All these points give 6, and every other feasible point has .
Answer
Maximum 6 at every point with and , the segment from to .
Key idea
When an edge lies on the highest feasible level line, every point of that edge is optimal.
- Hint 1
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Problem 8 An additional requirement
For and , the objective is . A new requirement is added. A student claims the maximum value stays the same. Decide whether the claim is correct, and justify your answer.
- Hint 1
Adding a requirement can only shrink the set of allowed points, never enlarge it.
- Hint 2
Find the original maximum, then test whether a point attaining it still satisfies the new requirement.
Answer
Yes; the maximum remains 8 at .
Full solution
The original objective is bounded by
The point attains 8 and satisfies the new condition, since .
The new feasible region is contained in the old one, so it cannot produce an objective value above 8.
Since the old maximizing point survives, 8 remains the maximum despite removal of other corners.
Answer
Yes; the maximum remains 8 at .
Key idea
A maximum survives an added constraint when an old maximizing point remains feasible.
- Hint 1
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Problem 9 A ceiling claim
Maximize over , , , , and . A student says that because raising raises , a maximizing point must have at its ceiling, so there. For each of the three upper limits , , and , state whether it is fully used at the maximizing point, and say whether the student's claim is correct.
- Hint 1
Deciding which limits are fully used means finding the maximizing point itself, so locate that point first.
- Hint 2
List all vertices and compare the objective values before checking which limits are tight.
Answer
Maximum 40 at , where and are fully used but is not; the claim is incorrect.
Full solution
The five vertices are , , , , and .
The corner is where the two slanted boundaries cross.
Multiplying by 4 gives
and subtracting from that leaves
so , and gives .
The objective values at the five vertices are
The maximum is 40 at .
There and , so those two upper limits are fully used, but , so the height limit is not.
The student's claim therefore fails.
Raising by itself would raise , but from the limit forces down by four for each unit rises, so drops by 11 per unit instead.
Answer
Maximum 40 at , where and are fully used but is not; the claim is incorrect.
Key idea
An optimal point may leave some upper limits unused.
- Hint 1
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Problem 10 An objective report
A bounded feasible polygon includes its boundary and has corners , , , and . A report for the linear objective correctly records 12 at B and 16 at C. It also claims 17 at the interior point . Can all three values be correct? Give the correct value at M and the actual maximum over the polygon, explaining why no unlisted point can give a larger value.
- Hint 1
The two verified records determine the objective coefficients.
- Hint 2
Evaluate the corrected objective at M and at every corner.
- Hint 3
Relate the largest corner value to the last objective level line that still touches the polygon.
Answer
No; . The maximum is 16 at .
Full solution
The record at B gives
so .
The record at C then gives
so .
The objective is therefore
At M,
Thus the reported value 17 is inconsistent with the two verified records.
The four corner values are
The greatest is 16 at C.
For a bounded feasible polygon with its boundary included, the highest objective level line that still meets the region touches a vertex or an edge whose endpoints are vertices.
Thus an unlisted point cannot exceed every corner value.
Only C attains the largest corner value, so it is the unique maximizing point.
Answer
No; . The maximum is 16 at .
Key idea
Verified objective values can expose an inconsistent interior report, while the corner principle certifies the corrected maximum.
- Hint 1