## Abstract

For a convex program in a normed vector space with the objective function admitting the Gâteaux derivative at an optimal solution, we show that the solution set consists of the feasible points lying in the hyperplane whose normal vector equals the Gâteaux derivative. For a general continuous convex program, a feasible point is an optimal solution iff it lies in a hyperplane with a normal vector belonging to the subdifferential of the objective function at this point. In several cases, the solution set of a variational inequality problem is shown to coincide with the solution set of a convex program with its dual gap function as objective function, while the mapping involved can be used to express the above normal vectors.

Original language | English |
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Pages (from-to) | 339-358 |

Number of pages | 20 |

Journal | Journal of Optimization Theory and Applications |

Volume | 130 |

Issue number | 2 |

DOIs | |

Publication status | Published - Aug 2006 |

Externally published | Yes |

## Keywords

- Convex programs
- Dual gap function
- Gâteaux derivatives
- Pseudomonotonicity
- Variational inequalities