What is objective function in linear programming problems Mcq?

Linear Programming MCQ Question 7 Detailed Solution The function which is to be optimized (maximized or minimized) is called objective function. The system of linear inequations (or equations) under which the objective function is to be optimized are called the constraints.

What are the objectives of goal programming?

◦ Goal programming is used to perform three types of analysis: Determine the required resources to achieve a desired set of objectives. Determine the degree of attainment of the goals with the available resources. Providing the best satisfying solution under a varying amount of resources and priorities of the goals.

What the objective function of a linear programming problem can strive for?

The objective function is to be maximized subject to the specified constraints on the decision variables. It is customary to refer to the first group of constraints, Notice further that the left-hand-side expressions in all four constraints are also linear. This is why we call the above problem a linear program.

What are the basic concepts of linear programming?

A linear program consists of a set of variables, a linear objective function indicating the contribution of each variable to the desired outcome, and a set of linear constraints describing the limits on the values of the variables.

What are the properties of linear programming?

Answer: The characteristics of linear programming are: objective function, constraints, non-negativity, linearity, and finiteness.

What is Goal Programming distinguish it from linear programming?

A goal programming (GP) model deals with goals simultaneously that are of concern to a decision maker. While a LP model consists of constraints and a single objective function to be maximized or minimized, a goal programming model consists of constraints and a set of goals that are prioritized in some sense [7] . …

What are the main characteristics of linear programming?

What are the features of linear programming?

What are the different types of linear programming?

The different types of linear programming are:

• Solving linear programming by Simplex method.
• Solving linear programming using R.
• Solving linear programming by graphical method.
• Solving linear programming with the use of an open solver.