Semidifferentiable functions and necessary optimality conditions
Journal of Optimization Theory and Applications
Mathematical Programming: Series A and B
Partially finite convex programming, part I: quasi relative interiors and duality theory
Mathematical Programming: Series A and B
Quasi interiors, Lagrange multipliers, and Lp spectral estimation with lattice bounds
Journal of Optimization Theory and Applications
Error bounds in mathematical programming
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
The System of Vector Quasi-Equilibrium Problems with Applications
Journal of Global Optimization
Gap Functions and Existence of Solutions to Generalized Vector Quasi-Equilibrium Problems
Journal of Global Optimization
Regularity Conditions via Quasi-Relative Interior in Convex Programming
SIAM Journal on Optimization
Separation of sets and Wolfe duality
Journal of Global Optimization
Remarks on infinite dimensional duality
Journal of Global Optimization
On the image space analysis for vector quasi-equilibrium problems with a variable ordering relation
Journal of Global Optimization
Hi-index | 0.00 |
In this paper, we employ the image space analysis (for short, ISA) to investigate vector quasi-equilibrium problems (for short, VQEPs) with a variable ordering relation, the constrained condition of which also consists of a variable ordering relation. The quasi relatively weak VQEP (for short, qr-weak VQEP) are defined by introducing the notion of the quasi relative interior. Linear separation for VQEP (res., qr-weak VQEP) is characterized by utilizing the quasi interior of a regularization of the image and the saddle points of generalized Lagrangian functions. Lagrangian type optimality conditions for VQEP (res., qr-weak VQEP) are then presented. Gap functions for VQEP (res., qr-weak VQEP) are also provided and moreover, it is shown that an error bound holds for the solution set of VQEP (res., qr-weak VQEP) with respect to the gap function under strong monotonicity.