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Describe conditions under which Linear programming is applicable?
Reagan Nimi
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What is the significance of duality theory of linear programming Describe the general rules for writing the dual of a linear programming problem?
the significance of duality theory of linear programming
What do you understand by linear programming?
1. What do you understand by Linear Programming Problem? What are the requirements of Linear Programming Problem? What are the basic assumptions of Linear Programming Problem?
What do you understand by linear programming problem?
1. What do you understand by Linear Programming Problem? What are the requirements of Linear Programming Problem? What are the basic assumptions of Linear Programming Problem?
Define linear programming?
necessity of linear programming on organization.
What are advantages and disadvantages of linear programming LP?
Advantages of Linear Programming 1.The linear programming technique helps to make the best possible use of available productive resources (such as time, labour, machines etc.) 2. In a production process, bottle necks may occur. For example, in a factory some machines may be in great demand while others may lie idle for some time. A significant advantage of linear programming is highlighting of such bottle necks. Disadvantages of Linear Programming 1. Linear programming is applicable only to problems where the constraints and objective function are linear i.e., where they can be expressed as equations which represent straight lines. In real life situations, when constraints or objective functions are not linear, this technique cannot be used. 2. Factors such as uncertainty, weather conditions etc. are not taken into consideration.
Benefits of linear programming?
Linear programming, especially in economics is vital for being able to make accurate estimates of goods output, costs and stock levels needed to carry out certain tasks. It is best to assume that the conditions do not change drastically.
What are the essential characteristics of linear programming problem?
essential attributes of linear programming models and its uses
Characteristics of linear programming model?
Linear programming models involve optimizing an objective function subject to linear constraints. They assume additivity and proportionality in the relationships between decision variables and the objective function. Linear programming models also require non-negativity constraints on decision variables.
What is the difference between linear and integer programming?
Integer programming is a method of mathematical programming that restricts some or all of the variables to integers. A subset of Integer programming is Linear programming. This is a form of mathematical programming which seeks to find the best outcome in such a way that the requirements are linear relationships.
What are the components of linear programming?
A linear objective function and linear constraints.
What has the author Toshinori Munakata written?
Toshinori Munakata has written: 'Matrices and linear programming with applications' -- subject(s): Linear programming, Matrices 'Solutions manual for Matrices and linear programming'
What are the scope of linear programming?
Linear programming can be used to solve problems requiring the optimisation (maximum or minimum) of a linear objective function when the variables are subject to a linear constraints.
