左乘算子的约化最小模

Banach空间X上的全体有界线性算子表示为B(X)对算子A∈B(X),左乘算子LA定义为LA(X)=AX,X∈B(X)。本文讨论了左乘算子LA的约化最小模与算子A的约化最小模的关系,得到γ(LA)≤γ(A)。特别地,对Hilbert空间上的算子A,证明了γ(LA)=γ(A)成立。

Banach空间上相容算子方程的最小范数解的扰动分析

设X,Y是Banach空间,T是D(T)СX到Y的稠定闭线性算子而且它的值域在Y闭.设相容算子方程Tx=b的非相容扰动为‖(T+δT)x-■‖=min■‖(T+δT)z-■‖,这里δT是X→Y的有界线性算子.在某些条件下(比如X,Y是自反的),设上述方程的最小范数解为■_m,并设Tx=b的解集S(T,b)中的最小范数解为x_m.本文给出了当δ(Ker T,Ker(T+δT))较小时,(dist(■_m,S(T,b))/‖X_m‖的上界估计式.

Banach空间算子闭值域区域的正则划分

本文讨论空间算子闭值域区域和-正则点和-奇异点，引入算子的约化最小模函数，用它刻划算子闭值域区域，得到与的若干结构表示定理．

Modified Augmented Lagrange Multiplier Methods for Large-Scale Chemical Process Optimization

Chemical process optimization can be described as large-scale nonlinear constrained minimization. The modified augmented Lagrange multiplier methods (MALMM) for large-scale nonlinear constrained minimization are studied in this paper. The Lagrange function contains the penalty terms on equality and inequality constraints and the methods can be applied to solve a series of bound constrained sub-problems instead of a series of unconstrained sub-problems. The steps of the methods are examined in full detail. Numerical experiments are made for a variety of problems, from small to very large-scale, which show the stability and effectiveness of the methods in large-scale problems.