Sensitivity Analysis in Nonlinear Programming
Chemical Equilibrium Problems
Entropy Maximization Problems
Springer Online Journal Archives 1860-2000
Abstract This paper presents an implementation of some recent results of Bigelow and Shapiro . These implicit function theorems are shown to provide a convenient means of performing certain types of sensitivity analysis, in particular updating the lagrange multipliers, associated with particular classes of problems. As a result we extend the usual sensitivity analysis results to include improving estimates of the effect of changing the right-hand sides of constraints. Examples of chemical equilibrium and entropy maximization models are used to illustrate the results.
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