The process of determining an objective function's maximum value is known as maximization. Contrarily, minimization is the antithesis of maximizing. In order to satisfy the provided linear constraints, it includes determining the lowest value of a linear objective function. The goal is to identify the choice variable values that produce the least possible value for the objective function.

The highest possible value of the objective function is referred to as maximization, whereas the lowest possible value is referred to as minimization.

Maximization refers to the highest possible value of the objective function while the minimization refers to the lowest possible value

Maximization aims to find the highest value of a given objective function, while still satisfying certain limitations or constraints. Minimization, on the other hand, seeks to find the lowest of an objective function while staying within the specified constraints.

maximization aims to find the highest value of a given objective function, while minimization seeks to find the lowest possible objective function while staying within the specified constraints

In maximization, the value should reach its highest limit and should not go higher than the objective. While in minimization, the value should not descend than the minimum objective.

The goal of maximization is to find the best possible value to maximize its resources while minimization aims to get the lowest value for the problem 

Maximization highest possible value while minimization  lowest possible value

Maximization in linear programming aims to achieve the greatest objective function value while meeting constraints, emphasizing gains or advantages. Minimization seeks to attain the smallest objective function value, often reducing costs or resource usage within set constraints.