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Infeasibility occurs in a linear programming problem when there is no solution that satisfies all the constraints simultaneously.

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Q: When does infeasibility occur in a linear programming problem?
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Peterson's solution is significant in resolving concurrency issues in computer programming because it provides a way to ensure mutual exclusion, which means only one process can access a critical section of code at a time. This helps prevent conflicts and race conditions that can occur when multiple processes try to access the same resources simultaneously. Peterson's solution is a simple and efficient algorithm that helps maintain the integrity and consistency of data in concurrent programming environments.


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Related questions

What is infeasibility in linear programming?

In linear programming, infeasibility refers to a situation where no feasible solution exists for a given set of constraints and objective function. This can occur when the constraints are contradictory or when the feasible region is empty. Infeasibility can be detected by solving the linear programming problem and finding that no solution satisfies all the constraints simultaneously. In such cases, the linear programming problem is said to be infeasible.


Can a linear programming problem have multiple optimal solutions?

When solving linear prog. problems, we base our solutions on assumptions.one of these assumptions is that there is only one optimal solution to the problem.so in short NO. BY HADI It is possible to have more than one optimal solution point in a linear programming model. This may occur when the objective function has the same slope as one its binding constraints.


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.


What do you call something that's not possible?

Something that is not possible is often referred to as an impossibility or an infeasibility. It denotes a situation or outcome that cannot occur or be achieved given the existing circumstances or constraints.


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