Name
Abstract | ||
|---|---|---|
This paper studies infinite-dimensional affine variational inequalities on normed spaces. It is shown that infinite-dimensional quadratic programming problems and infinite-dimensional linear fractional vector optimization problems can be studied by using affine variational inequalities. We present two basic facts about infinite-dimensional affine variational inequalities: the Lagrange multiplier rule and the solution set decomposition. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s10957-018-1296-3 | J. Optimization Theory and Applications |
Keywords | Field | DocType |
Infinite-dimensional affine variational inequality,Infinite-dimensional quadratic programming,Infinite-dimensional linear fractional vector optimization,Generalized polyhedral convex set,Solution set,49J40,49J50,49K40,90C20,90C29 | Affine transformation,Applied mathematics,Vector optimization,Lagrange multiplier,Mathematical analysis,Solution set,Quadratic programming,Mathematics,Variational inequality | Journal |
Volume | Issue | ISSN |
178 | 1 | 0022-3239 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| N. D. Yen | 1 | 104 | 17.57 |
| Xiaoqi Yang | 2 | 126 | 20.85 |