Abstract
In this chapter we study parameterized optimization problems of the form
, depending on the parameter vector u ∈ U. Unless stated otherwise we assume in this chapter that X, Y, and U are Banach spaces, K is a closed convex subset of Y, and f : X × U → IR and G : X × U → Y are continuous. In some situations we deal with minimization of f(·, u) over an abstract set Φ(u) ⊂ X. In any case we denote by Φ(u) the feasible set of the current optimization problem.
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© 2000 Springer Science+Business Media New York
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Bonnans, J.F., Shapiro, A. (2000). Stability and Sensitivity Analysis. In: Perturbation Analysis of Optimization Problems. Springer Series in Operations Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1394-9_4
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DOI: https://doi.org/10.1007/978-1-4612-1394-9_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7129-1
Online ISBN: 978-1-4612-1394-9
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