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Traditional sensitivity analysis in linear programming usually focuses on variations of one coefficient or term at a time. The tolerance approach was proposed to provide a decision maker with an ...
Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...
This is a preview. Log in through your library . Abstract This paper presents an algorithm, based on the simplex routine, that provides a way to solve a problem in which the objective function is not ...
In linear programming, the objective function is the function that it is desired to maximize or minimize. The human interaction equivalent is what matters most. Agreement on that, and on the steps to ...
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