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Global Optimality Conditions for Nonlinear Programming Problems with Linear Equality Constraints
Author(s) -
Guoquan Li,
Yan Wang
Publication year - 2014
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2014/213178
Subject(s) - mathematics , constraint (computer aided design) , mathematical optimization , minification , quadratic equation , global optimization , nonlinear programming , nonlinear system , quadratic programming , sequential quadratic programming , inequality , mathematical analysis , physics , geometry , quantum mechanics
Some necessary global optimality conditions and sufficient globaloptimality conditions for nonconvex minimization problems with a quadratic inequalityconstraint and a linear equality constraint are derived. In particular, global optimality conditionsfor nonconvex minimization over a quadratic inequality constraint which extend someknown global optimality conditions in the existing literature are presented. Some numericalexamples are also given to illustrate that a global minimizer satisfies the necessary globaloptimality conditions but a local minimizer which is not global may fail to satisfy them

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