This paper deals with the F-compact operator defined on probabilistic Hilbert space and gives some of its main properties.

Our research addresses one of the aspects of nostalgia for one of the most well-known Israeli writers of Iraqi origin (Sami Michael) who spent his childhood in Baghdad. The Israeli government has also been forced to emigrate with its family as a result of the Zionist propaganda that the Zionist institutions have followed since the early decades of this century in the Arab unrest and massacres. The fact that the homeland is like a mother is A fact that is compelling and something of an expatriate human being; the homeland is a fact that remains in the person's consciousness to be the image of the mother: The lover, love, safety, identity. The language that is formulated, and the memories that make its past, present and future, are all concep

In this research for each positive integer integer and is accompanied by connecting that number with the number of Bashz Attabq result any two functions midwives to derive a positive integer so that there is a point

In this paper we show that if ? Xi is monotonically T2-space then each Xi is monotonically T2-space, too. Moreover, we show that if ? Xi is monotonically normal space then each Xi is monotonically normal space, too. Among these results we give a new proof to show that the monotonically T2-space property and monotonically normal space property are hereditary property and topologically property and give an example of T2-space but not monotonically T2-space.

Recently Genetic Algorithms (GAs) have frequently been used for optimizing the solution of estimation problems. One of the main advantages of using these techniques is that they require no knowledge or gradient information about the response surface. The poor behavior of genetic algorithms in some problems, sometimes attributed to design operators, has led to the development of other types of algorithms. One such class of these algorithms is compact Genetic Algorithm (cGA), it dramatically reduces the number of bits reqyuired to store the poulation and has a faster convergence speed. In this paper compact Genetic Algorithm is used to optimize the maximum likelihood estimator of the first order moving avergae model MA(1). Simulation results

    The aim of our work is to develop a new type of games which are related to (D, WD, LD) compactness of topological groups. We used an infinite game that corresponds to our work. Also, we used an alternating game in which the response of the second player depends on the choice of the first one. Many results of winning and losing strategies have been studied, consistent with the nature of the topological groups. As well as, we presented some topological groups, which fail to have winning strategies and we give some illustrated examples. Finally, the effect of functions on the aforementioned compactness strategies was studied.