Kankova, Vlasta Optimization problem with parameter and its application to the problems of two-stage stochastic nonlinear programming. (English) Zbl 0449.90075 Kybernetika 16, 411-425 (1980). Page: −5 −4 −3 −2 −1 ±0 +1 +2 +3 +4 +5 Show Scanned Page MSC: 90C31 Sensitivity, stability, parametric optimization 90C15 Stochastic programming Keywords:two-stage stochastic nonlinear programming; unknown vector parameter; parametric programming; continuous concave Lipschitz function; sufficient stability conditions × Cite Format Result Cite Review PDF Full Text: EuDML References: [1] B. Bereanu: Stable Stochastic Linear Programs and Applications. Mathematische Operationsforschung und Statistics 4 (1975), 593-608. · Zbl 0342.90048 · doi:10.1080/02331887508801239 [2] P. Kali: Stochastic Linear Programming. Springer-Verlag, Berlin-Heidelberg-New York 1976. [3] V. Kaňková: Differentiability of the Optimalized Function in a Two Stages Stochastic Nonlinear Programming Problem. (in Czech). Ekonomicko-matematický obzor 14 (1978), 3, 322-330. [4] V. Kaňková: Stability in the Stochastic Programming. Kybernetika 14 (1978), 5, 339-349. [5] V. Kaňková: An Approximative Solution of a Stochastic Optimization Problem. Trans. of the Eight Prague Conference. .., Academia, Prague 1978, 349 - 353. [6] V. Kaňková: Approximating Solution of Problems of the Two-Stage Stochastic Nonlinear Programming. (in Czech). Ekonomicko-matematický obzor 16 (1980), 1, 64-76. [7] S. Karlin: Mathematical Methods and Theory in Games, Programming and Economics. Pergamon Press, London-Paris 1959. · Zbl 0139.12704 [8] R. Rockafellar: Convex Analysis. Princeton Press, New Jersey 1970. · Zbl 0193.18401 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.