Sufficient Fritz John optimality conditions for nondifferentiable convex programming
1976 ◽
Vol 19
(4)
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pp. 462-468
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Keyword(s):
AbstractThe Fritz John necessary conditions for optimality of a differentiable nonlinear programming problem have been shown, given additional convexity hypotheses, to be also sufficient (by Gulati, Craven, and others). This sufficiency theorem is now extended to minimization (suitably defined) of a function taking values in a partially ordered space, and to (convex) objective and constraint functions which are not always differentiable. The results are expressed in terms of subgradients.
2015 ◽
Vol 55
(6)
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pp. 935-961
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Keyword(s):
1992 ◽
Vol 28
(7)
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pp. 879-886
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2008 ◽
Vol 130
(5)
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1999 ◽
Vol 38
(7)
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pp. 2680-2698
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2017 ◽
Vol 04
(02)
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2018 ◽
pp. 243-251
Keyword(s):