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By maximising or minimizing a linear function under several constraints, linear programming is a mathematical modeling technique. Our aim is to represent complex relationships using linear functions and then to identify their optimal points.In business planning, industrial engineering, and the social & physical sciences, linear programming is very useful.
The following is a list of basic terms used in linear programming problems:
You can either maximize or minimize this value. If you run a business, your primary objective is to increase profits while minimizing losses.
As a result of the constraints, the decision variables are limited. When it comes to working in a business, the budget, the number of workers, the production capacity, the space, etc. are the constraints.
It is prohibited for decision variables to have values less than or equal to 0. Non-negativity is defined as values greater than or equal to 0.
Known as decision variables, these variables determine the output. When a farmer wishes to plant wheat and barley, one of the decisions to make is how to calculate the area to plant wheat and barley.
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