Abstract
Calculating the directional derivative of a class of the set-valued mappings , in the sense of Y. N. Tyurin [Econ. Math. Methods 1 (1965) 391–410] and H. T. Banks and M. Q. Jacobs [J. Math. Anal. Appl. 29 (1970) 246–272] is presented that can be viewed as an extension to the one given by Pecherskaya. Results obtained in this paper are used to get a bound of the Lipschitz constant for the solution sets of Perturbed Linear Programming. This new bound is smaller than the one due to W. Li [SIAM J. Control Optimizaton 32 (1994) 140–153].
References
- J.-P. Aubin, H. Frankowska: Set-Valued Analysis, Birkhäuser, Boston (1990).Google Scholar
- H. T. Banks, M. Q. Jacobs: A differential calculus for multifunctions, J. of Mathematical Analysis and Application 29 (1970) 246–272.https://doi.org/10.1016/0022-247X(70)90078-8Google Scholar
- W. Cook, A. M. H. Gerards, A. Schrijver, E. Tardos: Sensitivity theorems in integer linear programming, Math. Programming 34 (1986) 251–264.https://doi.org/10.1007/BF01582230Google Scholar
- M. R. Davidson: Stability of the extreme point set of a polyhedron, J. Optim. Theory Appl. 90 (1996) 357–380.https://doi.org/10.1007/BF02190003Google Scholar
- V. F. Demyanov, A. M. Rubinov: On quasidifferentiable mappings, Math. Operationsforsch. Statist. Ser. Optimization 14 (1983) 3–21.https://doi.org/10.1080/02331938308842828Google Scholar
- G. H. Golub, C. F. van Loan: Matrix Computations, 3rd Edition, Johns Hopkins Univ. Press (1995).Google Scholar
- W. W. Hogan: Directional derivatives for extremal value functions with application to the completely convex case, Oper. Res. 21 (1973) 188–209.https://doi.org/10.1287/opre.21.1.188Google Scholar
- L. Hörmander: Sur la fonction d’appui des ensembles convexes dans un espace localement convexe, Arkiv för Matematik 3 (1954) 181–186.https://doi.org/10.1007/BF02589354Google Scholar
- P. Huard (ed.): Point-to-set maps and mathematical programming, Mathematical Programming Study 10 (1979) 1–190.https://doi.org/10.1007/BFb0120837Google Scholar
- D. Klatte: Lipschitz continuity of infima and optimal solutions in parametric optimization and related topics, Math. Res. 35, Akademic-Verlag, Berlin (1987) 229–248.https://doi.org/10.1515/9783112720936-015Google Scholar
- S. S. Kutateladze, A. M. Rubinov: Minkowski Duality and its Applications, Nauka, Moscow (1976).Google Scholar
- W. Li: The sharp Lipschitz constants for feasible and optimal solutions of a perturbed linear program, Linear Algebra Appl. 187 (1993) 15–40.https://doi.org/10.1016/0024-3795(93)90125-8Google Scholar
- W. Li: Sharp Lipschitz constants for basic optimal solutions and basic feasible solutions of linear programs, SIAM J. Control. Optim. 32 (1994) 140–153.https://doi.org/10.1137/S036301299222723XGoogle Scholar
- O. L. Mangasarian, T.-H. Shiau: Lipschitz continuity of solutions of linear inequalities, programs, and complementarity problems, SIAM J. Control Optim. 25 (1987) 583–595.https://doi.org/10.1137/0325033Google Scholar
- V. L. Makarov, A. M. Rubinov: Mathematical Theory of Economic Dynamics and Equilibria, Nauka, Moscow (1973).Google Scholar
- L. Minchenko, A. Volosevich: Strongly differentiable multifunctions and directional differentiability of marginal functions, in: Quasidifferentiability and Related Topics, V. Demyanov, A. Rubinov (eds.), Kluwer Academic Publishers, Netherlands (2000).https://doi.org/10.1007/978-1-4757-3137-8_7Google Scholar
- D. Pallaschke, R. Urbański: Minimal pairs of compact convex sets with application to quasidifferential caculus, in: Quasidifferentiability and Related Topics, V. Demyanov, A. Rubinov (eds.), Kluwer Academic Publishers, Netherlands (2000).https://doi.org/10.1007/978-1-4757-3137-8_8Google Scholar
- N. A. Percherskaya: Differentiability of set-valued mappings, in: Nonsmooth Problems of Control and Optimization, V. F. Demyanov (ed.), Leningrad University Press (1982) 128–147.Google Scholar
- N. A. Pecherskaya: Quasidifferentiable mappings and the differentiability of maximum functions, Mathematical Programming Study 29 (1986) 145–159.https://doi.org/10.1007/BFb0121144Google Scholar
- S. M. Robinson: Bounds for error in the solution set of a perturbed linear program, Linear Algebra Appl. 6 (1973) 69–81.https://doi.org/10.1016/0024-3795(73)90007-4Google Scholar
- A. M. Rubinov: Superlinear Multimappings and their Application to Economic and Mathematical Problems, Nauka (1980).Google Scholar
- Y. N. Tyurin: A simplified model of production planning, Econ. and Math. Methods 1 (1965) 391–410.Google Scholar
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Published by Heldermann Verlag, 2003. Rights now held by Banach Press.
