Objective Function Evaluation | Lesson 5 of 10

Objective Function Evaluation

Lesson 5 of 10

In this lesson:

  • Set up the objective function from context
  • Evaluate at every corner point
  • Identify and interpret the optimal solution
Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

What You Will Learn Today

By the end of this lesson, you should be able to:

  1. Set up the objective function with the correct direction (max or min)
  2. Evaluate the objective at every corner point using a table
  3. Identify the optimum and interpret the answer in context
Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

The Corner List: Which Earns Most?

From LP-04, the carpenter region has four corners:

(0, 0), (5, 0), (3, 2), (0, 4)

Tables earn $20 each. Chairs earn $10 each.

Which corner gives the highest profit?

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Two Corners Computed by Arithmetic

Before naming any formula — compute two rows:

  • : profit
  • : profit

The pattern: substitute the corner, multiply by profit rate, add.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

The Objective Function: Form and Meaning

The objective function always has the form :

  • = profit (or cost) per unit of
  • = profit (or cost) per unit of

For the carpenter: maximize

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Wording Tells You the Direction

Wording Direction
profit, revenue, output, yield Maximize
cost, time, distance, loss Minimize

State the direction before you build the table.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Worked: Building P = 20x + 10y

Context: Tables earn $20 each; chairs earn $10 each.

  1. Decision variables: = tables, = chairs
  2. Contribution: from tables, from chairs
  3. Objective: maximize
Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Worked: Building C = 30x + 50y

Side-by-side comparison: maximize P=20x+10y versus minimize C=30x+50y, showing parallel structure

A delivery service uses minivans ($30/trip) and lorries ($50/trip).

minimize

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Check-In: Set Up the Objective

Scenario: Each worker earns 15,000 UGX per shift; each machine saves 8,000 UGX. Maximize earnings.

Write the objective function. State the direction.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

The Evaluation Table: Three-Column Structure

Corner (x, y) P value
A (0, 0) ...
B (5, 0) ...
C (3, 2) ...
D (0, 4) ...

Fill every row — scan for the optimum.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Evaluating All Four Carpenter Corners

Carpenter evaluation table with all four corners filled and P=100 at (5,0) highlighted

Corner
A (0, 0) 0
B (5, 0) 100
C (3, 2) 80
D (0, 4) 40
Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

The Surprise: All Tables, No Chairs

Maximum at five tables, zero chairs.

Why does the interior corner (3, 2) lose?

  • Tables earn 20 each; chairs earn 10 each
  • Coefficient ratio drives the optimum, not "balance"

Change the chair price and the optimum shifts.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

The Interpretation Step: Write the Sentence

Never stop at a number. Always write:

"The carpenter should make 5 tables and 0 chairs for a maximum profit of 100."

Format: [decision] for a [max/min] [quantity] of [value]

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Check-In: Read the Minimization Table

A minimization table shows:

  • :
  • :
  • :

Which corner is optimal? Write the interpreted answer.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Worked: Minimization — Delivery Corners

Delivery evaluation table with minimum at (8,0)=24 highlighted

Corner
A (6, 2) 28
B (8, 0) 24
C (9, 0) 27

Minimum: at .

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

The Complete Five-Stage LP Method

Five stages — one complete method:

  1. Read — variables, constraints, direction
  2. Form — inequalities and objective
  3. Graph — boundaries and region
  4. Corners — inspect and calculate
  5. Evaluate — table, optimum, sentence
Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Method Roadmap: Stage 5 Active

  1. Read — variables, constraints (LP-01)
  2. Form — inequalities and objective (LP-02)
  3. Graph — boundaries, region (LP-03)
  4. Corners — find and verify (LP-04)
  5. Evaluate — table, optimum, sentence (LP-05) ← today
Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Worked: Carpenter in 90 Seconds

  1. Read: tables , chairs
  2. Form: ; ; maximize
  3. Graph: boundaries drawn, region shaded
  4. Corners: , , ,
  5. Evaluate: max at 5 tables, 0 chairs
Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Check-In: Write the Interpreted Answer

Maximize :

  • A (0, 0):
  • B (4, 0):
  • C (2, 3):
  • D (0, 4):

Identify the optimum. Write the interpreted sentence.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Variant: Chair Price Rises to 30

Now . New P values:

  • A (0, 0):
  • B (5, 0):
  • C (3, 2):
  • D (0, 4):

Two corners tie — optimum has shifted.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Variant: The Coefficient Drives the Optimum

In original (): tables-only wins because

In variant (): balance wins because coefficients are closer

The optimum is not about "using both" — it is about the objective.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Always State the Direction First

Habit rule — always write:

"I am maximizing P = 20x + 10y"
— or —
"I am minimizing C = 30x + 50y"

before building the evaluation table.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Three Mistakes That Cost Marks

⚠️ Watch out:

  • Default to max when minimizing — state direction first; scan for smallest
  • Stop at the number — $100 is not the answer; write the full sentence
  • Evaluate interior points — the Fundamental Theorem guarantees corners
Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Check-In: Complete Evaluation Table Practice

Corner list given: , , ,

Objective: maximize

State direction. Build the table. Write the interpreted answer.

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Key Takeaway: Table Converts LP to Arithmetic

✓ Objective function — direction from wording

✓ Evaluate at every corner — no skipping

✓ Scan for max or min — state direction first

✓ Write the interpreted sentence — not just a number

Grade 10 Mathematics | S4 Topic 3: Linear Programming
Objective Function Evaluation | Lesson 5 of 10

Coming Up: Lesson 6 — Minimum Cost

You have now solved a complete LP problem end to end.

Lesson 6 — Minimum Cost Problems:

  • Fresh context: minimize transport cost
  • Same five stages — direction is minimize
  • Introduce the direction-stating step as the opening move
Grade 10 Mathematics | S4 Topic 3: Linear Programming

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Objective Function Evaluation