class operator
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Positivity ◽  
2020 ◽  
Author(s):  
Minoo Khosheghbal-Ghorabayi ◽  
Ghorban-Ali Bagheri-Bardi

Author(s):  
Maulana Rezi ◽  
Gilang Chandra ◽  
Satiadji Budiman ◽  
Gandy Putra ◽  
Arighi Rizki

First Media is one of the companies in the field of recording technology that provides internet network services. To find out the value of the influence of first-class operators on consumer satisfaction in this study used the associative method. Descriptive method to determine the level of buyer satisfaction with the operator. This study used a questionnaire distributed to 100 consumers. The results showed that consumers who were very satisfied with the quality of service were as many as 39 people. Satisfied consumers are as many as 13 people, and consumers who feel dissatisfied are as many as 48 people. From the results of easy linear regression the miles are considered that the regression equation is Y = -0.018 + 0.051X, which means the constant (β0) is -0.018 shows that when the service quality variable does not change, the average customer satisfaction (Y) is -0.018. Service quality regression coefficient of 0.051. This shows that every one constant increase in service quality variables will increase customer satisfaction (Y) by 0.051. Positive regression coefficient, this shows the higher the first-class operator, the higher the customer satisfaction (Y). From the calculation of R2 termination coefficient, it is known that service quality has an influence of 50.5% on customer satisfaction.


Author(s):  
E. Osgooei ◽  
A. Rahimi

Controlled frames have been recently introduced in Hilbert spaces to improve the numerical efficiency of interactive algorithms for inverting the frame operator. In this paper, unlike the cross-Gram matrix of two different sequences which is not always a diagnostic tool, we define the controlled-Gram matrix of a sequence as a practical implement to diagnose that a given sequence is a controlled Bessel, frame or Riesz basis. Also, we discuss the cases that the operator associated to controlled Gram matrix will be bounded, invertible, Hilbert–Schmidt or a trace-class operator. Similar to standard frames, we present an explicit structure for controlled Riesz bases and show that every [Formula: see text]-controlled Riesz basis [Formula: see text] is in the form [Formula: see text], where [Formula: see text] is a bijective operator on [Formula: see text]. Furthermore, we propose an equivalent accessible condition to the sequence [Formula: see text] being a [Formula: see text]-controlled Riesz basis.


2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Parastoo Heiatian Naeini ◽  
Bahmann Yousefi

We will consider multiplication operators on a Hilbert space of analytic functions on a domainΩ⊂C. For a bounded analytic functionφonΩ, we will give necessary and sufficient conditions under which the complement of the essential spectrum ofMφinφΩbecomes nonempty and this gives conditions for the adjoint of the multiplication operatorMφbelongs to the Cowen-Douglas class of operators. Also, we characterize the structure of the essential spectrum of a multiplication operator and we determine the commutants of certain multiplication operators. Finally, we investigate the reflexivity of a Cowen-Douglas class operator.


Author(s):  
Angel Herranz ◽  
Juan José Moreno-Navarro

In this chapter, a formal model for Design patterns is studied. The formal specification of a Design pattern is given as a class operator that transforms a design given as a set of classes into a new design that takes into account the description and properties of the Design pattern. The operator is specified in the Slam-Sl specification language, in terms of pre and postconditions. Precondition collects properties required to apply the pattern and postcondition relates input classes and result classes encompassing most of the intent and consequences sections of the pattern. Formalization is mandatory for reasoning about Design patterns and for implementing assistant tools.


2008 ◽  
Vol 2008 ◽  
pp. 1-17
Author(s):  
Adrian P. C. Lim

This article aims to give a formula for differentiating, with respect to , an expression of the form , where and is a diffusion process starting from , taking values in a manifold, and the expectation is taken with respect to the law of this process. is a trace class operator defined by , where , are locally Lipschitz, positive matrices.


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