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MathsOptimization Problems
Maths
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  • Numbers
  • 1. Number Systems
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  • 2. Algebraic Expressions
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  • 16. 2D Mensuration
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  • 18. Introduction to Trigonometry
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  • Advanced Algebra
  • 23. Sequences and Series
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  • 28. Binomial Theorem
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  • Calculus
  • 32. Limits
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  • 37. Applications of Integrals
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  • 39. Vectors
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  • 40. Data Handling
  • 41. Measures of Central Tendency
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  • 45. Random Variables
  • 46. Probability Distributions
  • Linear Programming
  • 47. Formulation of Linear Programming Problems
  • 48. Graphical Method
  • 49. Linear Programming - Constraints and Feasible Region
  • 50. Optimization Problems
    • 50.1. Maximization Problems
    • 50.2. Minimization Problems
    • 50.3. Real-Life Applications of LPP
  • Mathematical Reasoning
  • 51. Statements
  • 52. Logical Connectives
  • 53. Implications
  • 54. Validity of Statements and Arguments
  • 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
  • 49. Linear Programming - Constraints and Feasible Region
  • 50. Optimization Problems
    • 50.1. Maximization Problems
    • 50.2. Minimization Problems
    • 50.3. Real-Life Applications of LPP
  • Mathematical Reasoning
  • 51. Statements
  • 52. Logical Connectives
  • 53. Implications
  • 54. Validity of Statements and Arguments
Convex Sets and Feasible RegionsMaximization Problems

Optimization Problems

Optimization problems explained with objective functions, maximizing or minimizing quantities, and simple examples using linear programming.

1.Maximization Problems
Student-friendly notes on maximization problems in linear programming, covering objective functions, feasible regions, corner points, and a simple worked example.
2.Minimization Problems
Student-friendly notes on minimization problems in linear programming, covering objective functions, feasible regions, corner points, and a simple illustrative example.
3.Real-Life Applications of LPP
Student-friendly notes on real-life applications of linear programming, including resource allocation, transportation, scheduling, cost minimization, and simple illustrative examples.
Convex Sets and Feasible RegionsMaximization Problems
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