Displaying similar documents to “Stability and accuracy functions in multicriteria combinatorial optimization”

Regions of stability for ill-posed convex programs

Sanjo Zlobec (1982)

Aplikace matematiky

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Regions of stability are chunks of the space of parameters in which the optimal solution and the optimal value depend continuously on the data. In these regions the problem of solving an arbitrary convex program is a continuous process and Tihonov's regularization is possible. This paper introduces a new region we furnisch formulas for the marginal value. The importance of the regions of stability is demostrated on multicriteria decision making problems and in calculating the minimal...

New regions of stability in input optimization

Sheng Huang, Sanjo Zlobec (1988)

Aplikace matematiky

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using point-to-set mappings we identify two new regions of stability in input optimization. Then we extend various results from the literature on optimality conditions, continuity of Lagrange multipliers, and the marginal value formula over the new and some old regions of stability.

A stability theorem in nonlinear bilevel programming.

Shou-Yang Wang, Qian Wang, Luis Coladas Uría (1996)

Qüestiió

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In this short paper, we are concerned with the stability of nonlinear bilevel programs. A stability problem is proven and an example is given to illustrate this theorem.