What are the three components of a linear program?
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Explanation:
Constrained optimization models have three major components: decision variables, objective function, and constraints.
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Linear programming
- Linear programming or LP is a method of optimising operations with constraints.
- The primary goal of linear programming is to maximise or minimise numerical values.
- It is composed of linear functions that are constrained by constraints such as linear equations or inequalities.
- Linear programming is regarded as an important technique for determining optimal resource utilisation.
Three main components of a linear programming are-
1. Decision Variables
- The output will be determined by the decision variable.
- It provides the final solution to the problem.
- The first step in solving any problem is to identify the decision variables.
2. Constraints
Regarding the resource, the limitations or constraints should be expressed mathematically.
3. Objective Functions
The objective function in a problem should be specified quantitatively.
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