The purpose of this paper is to generalize the vector variational-type inequalities, formulated by Kim [J. Appl. Math. Comput. 16 (2004) 279–287], by setting the norms into Minty and Stampacchia forms. We also demonstrate the relationships between these generalized inequalities and multiobjective variational problems, by using the notions of strongly convex functionals. The theoretical developments are illustrated through numerical examples.
Accepté le :
DOI : 10.1051/ro/2016017
Mots-clés : Multiobjective variational problem, generalized Minty vector variational-type inequality, generalized Stampacchia vector variational-type inequality, strongly convex functional, strongly preconvex functional
@article{RO_2017__51_1_211_0, author = {Jayswal, Anurag and Singh, Shipra}, title = {Multiobjective variational problems and generalized vector variational-type inequalities}, journal = {RAIRO - Operations Research - Recherche Op\'erationnelle}, pages = {211--225}, publisher = {EDP-Sciences}, volume = {51}, number = {1}, year = {2017}, doi = {10.1051/ro/2016017}, mrnumber = {3603503}, zbl = {1391.90576}, language = {en}, url = {http://www.numdam.org/articles/10.1051/ro/2016017/} }
TY - JOUR AU - Jayswal, Anurag AU - Singh, Shipra TI - Multiobjective variational problems and generalized vector variational-type inequalities JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2017 SP - 211 EP - 225 VL - 51 IS - 1 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro/2016017/ DO - 10.1051/ro/2016017 LA - en ID - RO_2017__51_1_211_0 ER -
%0 Journal Article %A Jayswal, Anurag %A Singh, Shipra %T Multiobjective variational problems and generalized vector variational-type inequalities %J RAIRO - Operations Research - Recherche Opérationnelle %D 2017 %P 211-225 %V 51 %N 1 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro/2016017/ %R 10.1051/ro/2016017 %G en %F RO_2017__51_1_211_0
Jayswal, Anurag; Singh, Shipra. Multiobjective variational problems and generalized vector variational-type inequalities. RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 1, pp. 211-225. doi : 10.1051/ro/2016017. http://www.numdam.org/articles/10.1051/ro/2016017/
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