Mathbee CBSE Mathbee · CBSE Class 12 Maths
Class 12 Linear Programming · Long Answer3 Marksgraphical_optimization

Class 12 Maths · Linear Programming · Long Answer #28

Minimize Z=4*x + y subject to -x - 2*y ≤ -4; -x - y ≤ -3; -x ≤ 0; -y ≤ 0. Solve graphically.
Coordinate-derived feasible-region graph for cbse12-math-lp-p1-short-002
Coordinate-derived feasible-region graph for cbse12-math-lp-p1-short-002

✅ Step-by-Step Solution

Final Answer: min Z=3 at (0,3).
  1. Draw each boundary ax+by=c and retain the closed half-plane ax+by≤c; intersect all constraints, including x,y≥0.
  2. Solving pairs of boundary equations and rejecting points violating any inequality gives vertices: (0,3), (2,1), (4,0).
  3. Evaluate the objective at every vertex: (0,3) → 3; (2,1) → 9; (4,0) → 16.
  4. The region is unbounded. Its recession directions satisfy every homogeneous constraint; representatives: (1,0), (0,1), (0,1), (1,0). Their objective changes are 4, 1, 1, 4. This checks whether a finite optimum exists. min Z=3 at (0,3).

📋 CBSE Stepwise Marking Scheme

  • [0.5 marks] Draw each boundary ax+by=c and retain the closed half-plane ax+by≤c; intersect all constraints, including x,y≥0.
  • [1 mark] Solving pairs of boundary equations and rejecting points violating any inequality gives vertices: (0,3), (2,1), (4,0).
  • [1 mark] Evaluate the objective at every vertex: (0,3) → 3; (2,1) → 9; (4,0) → 16.
  • [0.5 marks] The region is unbounded. Its recession directions satisfy every homogeneous constraint; representatives: (1,0), (0,1), (0,1), (1,0). Their objective changes are 4, 1, 1, 4. This checks whether a finite optimum exists. min Z=3 at (0,3).

Master Chapter 12: Linear Programming

Practise interactive questions, flashcards, visual mind maps, and timed board tests for Linear Programming.
📘 Chapter Notes & All Exercises 🚀 Open in Interactive Workspace →
← Previous Question
Minimize Z=13*x - 15*y subject to x + y ≤ 7; -2*x + 3*y ≤ 6; -x ≤ 0…
Next Question →
Maximize Z=80*x + 120*y subject to 3*x + 4*y ≤ 60; x + 3*y ≤ 30; -x…

More Practice Questions in Linear Programming

Related Questions in Linear Programming