Class12, Ex-12.1, Q1 to Q10 | Class 12 One Shot Ex 12.1 Math | Ex 12.1 Class12 in One Shot
Nexa Classes-Deepak Antil・2 minutes read
Linear Programming Chapter 12 focuses on solving problems graphically by maximizing or minimizing a given function, such as 3X + 4y, while adhering to set conditions and constraints for profit maximization. The text details the process of plotting points based on constraints, determining the feasible region, and finding the optimal solution by identifying common regions and points of intersection, ultimately showcasing the minimum value of S = 6 in linear programming problems.
Insights
- Linear Programming Chapter 12 focuses on solving problems graphically by maximizing or minimizing a given function like 3X + 4y, emphasizing the importance of fulfilling conditions and limitations for profit maximization.
- The text illustrates the process of linear programming through examples, highlighting the steps of plotting points based on constraints, determining the feasible region, and finding optimal solutions by identifying common regions and points of intersection, ultimately showcasing the minimum value of S = 6 in linear programming problems.
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Recent questions
How is linear programming problem solved graphically?
By maximizing or minimizing a given function with constraints.
What is the significance of constraints in linear programming?
Constraints ensure conditions are met for profit maximization.
How are feasible regions determined in linear programming?
Feasible regions are determined by satisfying conditions.
What is the process of maximizing profit in linear programming?
By solving the problem graphically with set conditions.
How are linear programming problems approached graphically?
By plotting points, identifying common regions, and solving equations.
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