by Chan Chiu Fat.Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.Includes bibliographical references (leaves 99-100).Acknowledgment --- p.iAbstract --- p.iiIntroduction --- p.1Chapter 1 --- Differentiability On Banach Spaces --- p.4Chapter 1.1 --- Introduction --- p.5Chapter 1.2 --- Subdifferentiability of Convex Functions --- p.12Chapter 1.3 --- Generalized Gradients --- p.16Chapter 1.4 --- The Rockafellar Subderivatives --- p.21Chapter 2 --- On Minimizing and Stationary Sequences --- p.25Chapter 2.1 --- On Equivalence of Minimizing and Stationary Sequences --- p.26Chapter 2.2 --- Constrained Optimization Problem --- p.35Chapter 2.3 --- Convergence of an Iterative Algorithm --- p.41Chapter 3 --- Asymptotically Weil-Beha...
AbstractA convex programming problem for a functional defined on a Banach space issolved, and necess...
In this paper, the convergence of the fundamental alternating minimization is established for non-sm...
We give a short proof that in a convex minimax optimization problem in k dimensions there exist a su...
by Wong Oi Ping.Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.Includes bibliographical ref...
AbstractThis note, through discussing convexification of functions on any sets, extends Stegall's ma...
This book aims to give an introduction to generalized derivative concepts useful in deriving necessa...
In this paper we will establish a new relationship between differentiability and optimization of conv...
We introduce semismooth and semiconvex functions and discuss their properties with respect to nonsmo...
We propose in this paper a systematic study which is a variational approach of approximate optimalit...
In this paper, we review two kinds of sequential optimality theorems for a convex optimization probl...
by Chow Wai Chuen.Thesis (M.Ph.)--Chinese University of Hong Kong, 1987.Bibliography: leaves 66-67
In this brief note, we review sequential optimality theorems in [5]. We give two kinds of sequential...
AbstractLet X be a Banach space and Z a nonempty subset of X. Let J:Z→R be a lower semicontinuous fu...
The paper develops a stability theory for the optimal value and the optimal set mapping of optimizat...
: This paper is devoted to the study of perturbed semi-infinite optimization problems, i.e. minimiza...
AbstractA convex programming problem for a functional defined on a Banach space issolved, and necess...
In this paper, the convergence of the fundamental alternating minimization is established for non-sm...
We give a short proof that in a convex minimax optimization problem in k dimensions there exist a su...
by Wong Oi Ping.Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.Includes bibliographical ref...
AbstractThis note, through discussing convexification of functions on any sets, extends Stegall's ma...
This book aims to give an introduction to generalized derivative concepts useful in deriving necessa...
In this paper we will establish a new relationship between differentiability and optimization of conv...
We introduce semismooth and semiconvex functions and discuss their properties with respect to nonsmo...
We propose in this paper a systematic study which is a variational approach of approximate optimalit...
In this paper, we review two kinds of sequential optimality theorems for a convex optimization probl...
by Chow Wai Chuen.Thesis (M.Ph.)--Chinese University of Hong Kong, 1987.Bibliography: leaves 66-67
In this brief note, we review sequential optimality theorems in [5]. We give two kinds of sequential...
AbstractLet X be a Banach space and Z a nonempty subset of X. Let J:Z→R be a lower semicontinuous fu...
The paper develops a stability theory for the optimal value and the optimal set mapping of optimizat...
: This paper is devoted to the study of perturbed semi-infinite optimization problems, i.e. minimiza...
AbstractA convex programming problem for a functional defined on a Banach space issolved, and necess...
In this paper, the convergence of the fundamental alternating minimization is established for non-sm...
We give a short proof that in a convex minimax optimization problem in k dimensions there exist a su...