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The study of how an optimal solution or, in general, the output of a mathematical model changes with (usually) small changes in the given data. In linear programming, a sensitivity study is a basic part of the problem solution. It shows how much a cost coefficient or a right-hand side element can vary, holding all other data constant, before the optimal feasible basis is either no longer optimal or feasible. Hundred percent rule; Linear programming; Nonlinear programming; Parametric-linear programming; Ranging; Robustness; Tolerance analysis.