How do you find the objective function in linear programming?

The linear function is called the objective function , of the form f(x,y)=ax+by+c . The solution set of the system of inequalities is the set of possible or feasible solution , which are of the form (x,y) .Click to see full answer. Similarly, what is objective function in linear programming?A two-dimensional linear programming problem consists of a linear objective function. and a system of linear inequalities called constraints. The objective function gives the. quantity that is to be maximized (or minimized), and the constraints determine the set of. feasible solutions.Furthermore, what is objective function value? Objective Function: The objective function in a mathematical optimization problem is the real-valued function whose value is to be either minimized or maximized over the set of feasible alternatives. It is possible that there may be more than one optimal solution, indeed, there may be infinitely many. In respect to this, what is the purpose of optimization? The purpose of optimization is to achieve the “best” design relative to a set of prioritized criteria or constraints. These include maximizing factors such as productivity, strength, reliability, longevity, efficiency, and utilization.What is an objective function example? Example of Objective Function These include: Allocating machinery and labor between different products so that profit is maximized or costs are minimized. Managing the inventory of raw materials and spare parts in a factory.

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