Daishi Kuroiwa

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Vector-valued games: characterization of equilibria in matrix games.
Math. Methods Oper. Res.
Giovanni Paolo Crespi, Daishi Kuroiwa, Matteo Rocca
2020 J jnl
Convergence of Solutions to Set Optimization Problems with the Set Less Order Relation.
J. Optim. Theory Appl.
Lam Quoc Anh, Tran Quoc Duy, Vinh Hien Dinh, Daishi Kuroiwa, Narin Petrot
2020 J jnl
Duality Theorems for Convex and Quasiconvex Set Functions.
Oper. Res. Forum
Satoshi Suzuki, Daishi Kuroiwa
2020 J jnl
Robust Nash equilibria in vector-valued games with uncertainty.
Ann. Oper. Res.
Giovanni Paolo Crespi, Daishi Kuroiwa, Matteo Rocca
2017 J jnl
Characterizations of the solution set for non-essentially quasiconvex programming.
Optim. Lett.
Satoshi Suzuki, Daishi Kuroiwa
2017 J jnl
Duality Theorems for Separable Convex Programming Without Qualifications.
J. Optim. Theory Appl.
Satoshi Suzuki, Daishi Kuroiwa
2017 J jnl
Nonlinear error bounds for quasiconvex inequality systems.
Optim. Lett.
Satoshi Suzuki, Daishi Kuroiwa
2017 J jnl
Quasiconvexity of set-valued maps assures well-posedness of robust vector optimization.
Ann. Oper. Res.
Giovanni Paolo Crespi, Daishi Kuroiwa, Matteo Rocca
2015 J jnl
Characterizations of the solution set for quasiconvex programming in terms of Greenberg-Pierskalla subdifferential.
J. Glob. Optim.
Satoshi Suzuki, Daishi Kuroiwa
2013 J jnl
Some constraint qualifications for quasiconvex vector-valued systems.
J. Glob. Optim.
Satoshi Suzuki, Daishi Kuroiwa
2013 J jnl
Surrogate duality for robust optimization.
Eur. J. Oper. Res.
Satoshi Suzuki, Daishi Kuroiwa, Gue Myung Lee
2012 J jnl
Necessary and Sufficient Constraint Qualification for Surrogate Duality.
J. Optim. Theory Appl.
Satoshi Suzuki, Daishi Kuroiwa
2011 J jnl
On Set Containment Characterization and Constraint Qualification for Quasiconvex Programming.
J. Optim. Theory Appl.
Satoshi Suzuki, Daishi Kuroiwa
2009 J jnl
Set containment characterization for quasiconvex programming.
J. Glob. Optim.
Satoshi Suzuki, Daishi Kuroiwa