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Published in:
2003 | OriginalPaper | Chapter
Sensitivity Analysis
Author : Erik B. Bajalinov
Published in: Linear-Fractional Programming Theory, Methods, Applications and Software
Publisher: Springer US
Included in: Professional Book Archive
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In this chapter, we discuss how changes in the coefficients (including RHS vector b and the coefficients of objective function Q(x)) of LFP problems affect the optimal solution. This is called sensitivity analysis. First, in Section 1, we illustrate the concept of sensitivity analysis through a graphical example. Then in Sections 2-6 we consider separate cases when changes occur in different parts of an LFP problem.