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  • Linear Programming
  • 47. Formulation of Linear Programming Problems
  • 48. Graphical Method
    • 48.1. Plotting Constraints
    • 48.2. Feasible Region (Graphical)
    • 48.3. Corner Point Method
    • 48.4. Bounded and Unbounded Solutions
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  • Numbers
  • 1. Number Systems
  • Algebra
  • 2. Algebraic Expressions
  • 3. Linear Equations
  • 4. Polynomials
  • 5. Quadratic Equations
  • 6. Arithmetic Progressions
  • 7. Inequalities
  • 8. Logarithms
  • 9. Factorisation
  • Geometry
  • 10. Lines and Angles
  • 11. Triangles
  • 12. Quadrilaterals
  • 13. Polygons
  • 14. Circles
  • 15. Coordinate Geometry
  • Mensuration
  • 16. 2D Mensuration
  • 17. 3D Mensuration
  • Trigonometry
  • 18. Introduction to Trigonometry
  • 19. Trigonometric Identities
  • 20. Heights and Distances
  • 21. Trigonometric Functions
  • 22. Inverse Trigonometric Functions
  • Advanced Algebra
  • 23. Sequences and Series
  • 24. Matrices
  • 25. Determinants
  • 26. Complex Numbers
  • 27. Permutations and Combinations
  • 28. Binomial Theorem
  • 29. Sets
  • 30. Relations
  • 31. Functions
  • Calculus
  • 32. Limits
  • 33. Continuity
  • 34. Differentiation
  • 35. Applications of Derivatives
  • 36. Integration
  • 37. Applications of Integrals
  • 38. Differential Equations
  • Vectors and 3D Geometry
  • 39. Vectors
  • Statistics and Probability
  • 40. Data Handling
  • 41. Measures of Central Tendency
  • 42. Measures of Dispersion
  • 43. Correlation
  • 44. Probability
  • 45. Random Variables
  • 46. Probability Distributions
  • Linear Programming
  • 47. Formulation of Linear Programming Problems
  • 48. Graphical Method
    • 48.1. Plotting Constraints
    • 48.2. Feasible Region (Graphical)
    • 48.3. Corner Point Method
    • 48.4. Bounded and Unbounded Solutions
  • 49. Linear Programming - Constraints and Feasible Region
  • 50. Optimization Problems
  • Mathematical Reasoning
  • 51. Statements
  • 52. Logical Connectives
  • 53. Implications
  • 54. Validity of Statements and Arguments
Mathematical Model of an LPPPlotting Constraints

Graphical Method

Graphical method explained with plotting constraints, identifying feasible regions, and finding optimal solutions using simple examples.

1.Plotting Constraints
Learn how to plot linear programming constraints on the coordinate plane using intercepts, lines, and shaded half-planes with simple step-by-step examples.
2.Feasible Region (Graphical)
Understand the graphical feasible region in linear programming with simple notes on half-planes, overlap of constraints, and how the final feasible area is identified.
3.Corner Point Method
Learn the corner point method in linear programming with simple notes on identifying vertices of the feasible region and evaluating the objective function to find the optimal solution.
4.Bounded and Unbounded Solutions
Understand bounded and unbounded solutions in linear programming with clear explanations, how to identify them, and simple graphical examples.
Mathematical Model of an LPPPlotting Constraints
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