匹配问题实例空间和解空间结构

本文通过研究匹配问题的实例空间，匈牙利算法和解空间三者之间的关系，指出S实例空间的数目与问题复杂度之间的关系既不是充分也不是必要的，而如何对问题的解空间进行合理的分解才能是问题的关键。     

有界对称域上的Dp乘子

设Ω是Cn中包含原点的有界对称域.本文在Ω上得到了关于Dp空间的两个乘子定理.     

当代文学＂民间＂研究的旧问题与新思考

20世纪90年代中期以来,知识分子民间立场、民间文化形态、民间审美形态、民间隐形结构等一系列学术范畴的建立,突破了文学史叙述在知识分子/政治意识形态、传统/现代等二元结构上的局限,拓展了文学研究的多维文化空间.     

拟议中的21世纪光学望远镜

 不论天文爱好者还是职业天文学家都渴望有一台大的反射镜或透镜,因为它能聚集更多的光,具有显示天体细节的潜能。特别是专业工作者,大仪器是研究宇宙中的暗星系和现代天文学中许多重要问题不可或缺的。可以说望远镜越大越好。现在,大地基望远镜主要是口径8～10米的反射镜,它们代表了自伽利略将望远镜用于夜空研究400年以来光学望远镜发展的巅峰。其中有建在智利的欧洲空间局的甚大望远镜(由4台8米望远镜构成),位于夏威夷的两台10米凯克望远镜和8.3米昴星望远镜,双子望远镜(两台望远镜分别装在南半球和北半球),以及德克萨斯州麦克唐纳天文台的9米大型拼镶镜面望远镜。     

NECESSARY CONDITIONS FOR OPTIMAL CONTROLS OF SEMILINEAR ELLIPTIC VARIATIONAL INEQUALITIES INVOLVING STATE CONSTRAINT

This paper deals with maximum principle for some optimal control problem governed by some elliptic variational inequalities. Some state constraints are discussed. The basic techniques used here are based on those in [1] and a new penalty functional defined in this paper.     

THE CLASSIFICATION AND PERIOD OF STATES FOR MARKOV CHAIN IN RANDOM ENVIRONMENT

This paper is a continuation of [8]. In Section 1, three kinds of communication are introdnced for two states and the relations among them are investigated. In Section 2, two kinds of period of a state are introdnced and it is obtained that the period is a “class property” ,i.e. two states x and y belong to same class implies the period of x is equal to the period of y.     

Boundedness of Multilinear Operators on Herz Type Spaces： Extreme Cases

In this paper, two classes of closely related multilinear singular and fractional integrals,which include the commutators as special cases, are studied and their boundedness on Herz type spaces is discussed. In fact, it is proved that these operators are actually not bounded in certain extreme cases.     

Local Prediction of Chaotic Time Series Based on Support Vector Machine

Based on phase space delay-coordinate reconstruction of a chaotic dynamics system, we propose a local prediction of chaotic time series using a support vector machine （SVM） to overcome the shortcomings of traditional local prediction methods. The simulation results show that the performance of this proposed predictor for making onestep and multi-step prediction is superior to that of the traditional local linear prediction method and global SVM method. In addition, it is significant that its prediction performance is insensitive to the selection of embedding dimension and the number of nearest neighbours, so the satisfying results can be achieved even if we do not know the optimal embedding dimension and how to select the number of nearest neighbours.     

因素空间理论与知识表示的数学框架(XⅢ)──描述架中概念的结构(2)

本文是［１，１２］的继续，研究描述架中概念的结构；本文讨论后半部分，内容涉及概念内涵与外延的转换，清晰关系的内投影与内变换，概念的结构＊以及有关问题的注记。     

A Fixed Point Theorem for Multi—valued Composite Increasing Operators

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