Linear Programming is used for determining a way to find the best solution or outcome for a given mathematical model represented as a linear relationship.
Psychology.
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.
the phenomenon of obtaining a degenerate basic feasible solution in a linear programming problem known as degeneracy.
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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.
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?
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?
Linear programming approach does not apply the same way in different applications. In some advanced applications, the equations used for linear programming are quite complex.
necessity of linear programming on organization.
It is used in many optimization problems.
the significance of duality theory of linear programming
Dynamic programming (DP) has been used to solve a wide range of optimizationproblemsWhen solving a problem using linear programming, specific inequalities involving the inputs are found and then an attempt is made to maximize (or minimize) some linear function of the inputs.
essential attributes of linear programming models and its uses
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.
A linear objective function and linear constraints.
Toshinori Munakata has written: 'Matrices and linear programming with applications' -- subject(s): Linear programming, Matrices 'Solutions manual for Matrices and linear programming'