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Value Functions and Their Directional Derivatives in Parametric Nonlinear Programming

Vadim Bondarevsky, Alexey Leschov and Leonid Minchenko ()
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Vadim Bondarevsky: Advanced Development and Research
Alexey Leschov: Belarusian State University of Informatics and Radioelectronics
Leonid Minchenko: Belarusian State University of Informatics and Radioelectronics

Journal of Optimization Theory and Applications, 2016, vol. 171, issue 2, No 7, 440-464

Abstract: Abstract We study questions of existence and calculation of directional derivatives of value functions of nonlinear mathematical programming problems depending on parameters. To this end, we use the directional derivatives of the multivalued mappings, defined by the constraints of the problems; this approach was pioneered by Demyanov. We obtain sufficient conditions for existence and explicit formulas for calculating the directional derivatives of the first and second orders, under weaker hypotheses than those traditionally assumed.

Keywords: Nonlinear programming; Value function; Constraint qualifications; Directional derivatives; 90C31; 49J52 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10957-015-0814-9

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