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MathsLinear Programming - Constraints and Feasible Region
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  • Linear Programming
  • 47. Formulation of Linear Programming Problems
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  • 49. Linear Programming - Constraints and Feasible Region
    • 49.1. Types of Constraints
    • 49.2. Inequality Constraints
    • 49.3. Feasible and Infeasible Region
    • 49.4. Convex Sets and Feasible Regions
  • 50. Optimization Problems
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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
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  • 11. Triangles
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  • 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
  • 49. Linear Programming - Constraints and Feasible Region
    • 49.1. Types of Constraints
    • 49.2. Inequality Constraints
    • 49.3. Feasible and Infeasible Region
    • 49.4. Convex Sets and Feasible Regions
  • 50. Optimization Problems
  • Mathematical Reasoning
  • 51. Statements
  • 52. Logical Connectives
  • 53. Implications
  • 54. Validity of Statements and Arguments
Bounded and Unbounded SolutionsTypes of Constraints

Linear Programming - Constraints and Feasible Region

Constraints and feasible region explained with definitions, inequality representation, graphical interpretation, and simple illustrations.

1.Types of Constraints
A simple and student-friendly explanation of different types of constraints in linear programming, including equality, inequality, non-negativity, and upper-bound limits with intuitive examples.
2.Inequality Constraints
Understanding inequality constraints in linear programming with simple notes on types, standard form, and graphical meaning using clear examples.
3.Feasible and Infeasible Region
Understanding feasible and infeasible regions in linear programming through simple explanations, graphical ideas, and intuitive examples.
4.Convex Sets and Feasible Regions
A clear and student-friendly explanation of convex sets, non-convex sets, and why feasible regions in linear programming are always convex, with intuitive examples and simple visual reasoning.
Bounded and Unbounded SolutionsTypes of Constraints
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