On Constraint Qualifications in Nonsmooth Optimization

We introduce extensions of the Mangasarian-Fromovitz and Abadie constraint qualifications to nonsmooth optimization problems with feasibility given by means of lower-level sets. We do not assume directional differentiability, but only upper semicontinuity of the defining functions. By deriving and reviewing primal first-order optimality conditions for nonsmooth problems, we motivate the formulations of the constraint qualifications. Then, we study their interrelation, and we show how they are related to the Slater condition for nonsmooth convex problems, to nonsmooth reverse-convex problems, to the stability of parametric feasible set mappings, and to alternative theorems for the derivation of dual first-order optimality conditions.In the literature on general semi-infinite programming problems, a number of formally different extensions of the Mangasarian-Fromovitz constraint qualification have been introduced recently under different structural assumptions. We show that all these extensions are unified by the constraint qualification presented here.     

Differential Conditions for Constrained Nonlinear Programming via Pareto Optimization

We deal with the differential conditions for local optimality. The conditions that we derive for inequality constrained problems do not require constraint qualifications and are the broadest conditions based on only first-order and second-order derivatives. A similar result is proved for equality constrained problems, although the necessary conditions require the regularity of the equality constraints.     

On the Image Regularity Condition

In this paper, we continue the analysis of the image regularity condition (IRC) as introduced in a previous paper where we have proved that IRC implies the existence of generalized Lagrange-John multipliers with first component equal to 1. The term generalized is connected with the fact that the separation (in the image space) is not necessarily linear (when we have classic Lagrange-John multipliers), but it can be also nonlinear. Here, we prove that the IRC guarantees, also in the nondifferentiable case, the fact that 0 is a solution of the first-order homogeneized (linearized) problem obtained by means of the Dini-Hadamard derivatives.     

Generalizations of Slater's constraint qualification for infinite convex programs

In this paper we study constraint qualifications and duality results for infinite convex programs (P) = inf{f(x): g(x) – S, x C}, whereg = (g ₁,g ₂) andS = S ₁ ×S ₂,S _i are convex cones,i = 1, 2,C is a convex subset of a vector spaceX, andf andg _i are, respectively, convex andS _i -convex,i = 1, 2. In particular, we consider the special case whenS ₂ is in afinite dimensional space,g ₂ is affine andS ₂ is polyhedral. We show that a recently introduced simple constraint qualification, and the so-called quasi relative interior constraint qualification both extend to (P), from the special case thatg = g ₂ is affine andS = S ₂ is polyhedral in a finite dimensional space (the so-called partially finite program). This provides generalized Slater type conditions for (P) which are much weaker than the standard Slater condition. We exhibit the relationship between these two constraint qualifications and show how to replace the affine assumption ong ₂ and the finite dimensionality assumption onS ₂, by a local compactness assumption. We then introduce the notion of strong quasi relative interior to get parallel results for more general infinite dimensional programs without the local compactness assumption. Our basic tool reduces to guaranteeing the closure of the sum of two closed convex cones.     

数字图书馆和图书馆员的素质

数字图书馆是一个数字化的信息系统 ,是将分散于不同载体、不同地理位置的信息系统以数字化的方式贮存 ,以网络化方式相互联接 ,提供即时利用 ,实现资源共享 .本文重点从数字图书馆的读者服务特点进行阐述 .同时阐述数字图书馆对图书馆员的素质要求 ,即要求有数字采集和知识发现的能力 ,能从不同角度满足读者对信息获取的需求 ,并且能成为数字信息的管理者和利用者 ,成为存取信息的中介 ,成为数字图书馆、数字信息系统及数字知识资源方面的专家     

Optimality theory for semi-infinite linear programming ∗

This paper presents an exhaustive approach to optimality theory in semi-infinite linear programming, placing a special emphasis on generality. After surveying optimality conditions for general problems, a detailed analysis is made of problems in which the coefficients are continuous functions of a parameter which varies on a compact set, adopting a feasible directions approach. Lastly, the case of analytical coefficients over an interval is considered in some detail.     

本科院校外语实验技术队伍调查分析

随机选取国内60个本科院校,调研了外语实验技术队伍的数量和结构,队伍的管理,工作与收入,学习与科研等。同时也初步调查了实验技术设备的现状,以及实验室常规工作中存在的问题。根据调查数据,指出了队伍中比较突出的一些现状问题。     

试论企业环境责任之实现——以企业环境监督员制度为视角

分析了现阶段我国企业环境管理的现状,阐述了在建立完善的企业环境责任制度方面发达国家的经验以及我国的具体做法,探讨了我国推行企业环境监督员制度过程中需要重点解决的几个问题。     

关于一类不可微非线性规划的约束品性

就一类在凸集C上目标函数为黎普希兹连续的带有可微不等式约束的非线性规划问题(P),在广义Kuhn-Tucker约束品性或广义Arrow-Hurwicz-Uzawa约束品性的条件下,研究了问题(P)的Kuhn-Tucker型必要条件.并且说明了当C为开集时相应的规划问题是问题(P)的特殊情况;目标函数为可微函数与凸函数的和时的相应的不可微非线性规划问题也是问题(P)的特殊情况;以及目标函数由黎普希兹连续的函数的商式构成的相应的分式规划问题也是问题(P)的特殊情况.     

Nondifferentiable mathematical programming and convex-concave functions

For a convex-concave functionL(x, y), we define the functionf(x) which is obtained by maximizingL with respect toy over a specified set. The minimization problem with objective functionf is considered. We derive necessary conditions of optimality for this problem. Based upon these necessary conditions, we define its dual problem. Furthermore, a duality theorem and a converse duality theorem are obtained. It is made clear that these results are extensions of those derived in studies on a class of nondifferentiable mathematical programming problems.This work was supported by the Japan Society for the Promotion of Sciences.