Linear Programming is a mathematical method used to optimize a linear objective function subject to linear constraints. It helps in making the best decision by determining the optimal values for variables. The solution is found within the feasible region formed ...
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A plane is a flat two-dimensional surface extending infinitely in all directions. It can be represented using a linear equation in three variables. The general form is Ax + By + Cz + D = 0, where A, B, C ...
The feasible region in linear programming is the set of all possible solutions that satisfy the given constraints. It is typically represented as a polygon or polyhedron in the coordinate system. The optimal solution is found at one of the ...
An objective function in linear programming is a mathematical expression representing the goal of the optimization problem. It defines what needs to be maximized or minimized such as profit cost or time. The objective function is optimized within the feasible ...
Constraints in linear programming are conditions or limitations that restrict the values of variables in the optimization problem. They are typically expressed as linear inequalities or equations. Constraints define the feasible region within which the objective function is optimized, ensuring ...