Linear Programming — Study Plan
NEST · Mathematics
Step-by-step Linear Programming study plan for NEST Mathematics 2026 — structured month-wise approach to mastering this chapter.
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A structured approach to studying Linear Programming for NEST Mathematics.
Study Plan for Linear Programming
Day 1–2: Learn the Theory
Study the chapter thoroughly. Note down definitions, formulas, and key concepts.
Day 3: Practice Problems
Solve practice questions and previous year NEST problems. There are 89 questions available for this chapter.
Day 4: Revise & Test
Revise key formulas and concepts without looking at notes. Take a practice quiz to test your understanding.
What to Focus On
- Linear Programming deals with optimization of linear functions
- It involves finding maximum or minimum values subject to constraints
- All relationships must be linear (no squares, cubes, or other powers)
- Decision variables represent quantities to be determined
- Objective function is always linear in variables
- Constraints represent limitations on resources or requirements
- Feasible solutions satisfy all constraints but may not be optimal
- Optimal solution is always at a corner point of feasible region
- Infeasible problems have no feasible solutions
Common Mistakes to Avoid
The optimal value of the objective function always occurs at the origin (0,0)
When drawing constraint lines, the direction of inequality doesn't matter - any side of the line is acceptable
If the feasible region is unbounded, there is no optimal solution
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