Linear Programming Assignment Help

 

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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.

Basic Terminology For Linear Programming

The following is a list of basic terms used in linear programming problems:

Objective Function

You can either maximize or minimize this value. If you run a business, your primary objective is to increase profits while minimizing losses.

Constraints

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.

Non-negativity Restriction

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.

Decision Variables

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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