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Hello students, here is a question.
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Discuss the role of sensitivity analysis in linear programming.
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So, under the circumstance which is needed is under the conditions do you think it's necessary.
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Please discuss the meaning upper bond and the lower bond with the context of sensitivity analysis.
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And please include at least one illustration of a application of sensitive analysis you supplement with a worksheet.
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So, this is our question.
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Let us discuss the answer for this.
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So, the first thing a linear programming is a mathematical technique used to optimize a given objective and function.
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It is subjected to constraint.
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It is widely used in various field such as operation, research, economics and engineers to make an optimal decision.
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Sensitivity analysis plays a crucial role in linear programming.
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So, it helps in understanding the impact of changes in parameters of a problem on optimal solution.
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Sensitive analysis is needed in lp under the following circumstances.
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So, those are uncertainty of parameters.
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So in the real world problem, the parameters are the objective functions and constraint that may be known with a certainty and sensitivity...