Polynomial matrix analysis using symbolic computation

Author(s):  
A.B. Ogunye
Filomat ◽  
2007 ◽  
Vol 21 (1) ◽  
pp. 67-86 ◽  
Author(s):  
Predrag Stanimirovic ◽  
Milan Tasic ◽  
Predrag Krtolica ◽  
Nikolas Karampetakis

We investigate two algorithms for computing the Moore-Penrose and Drazin inverse of a given one-variable polynomial matrix by interpolation. These algorithms differ in the method used for constant matrices inverses computing. The first algorithm uses the Grevile?s method, and the second one uses the Leverrier-Faddeev method and its generalization. These algorithms are especially useful for symbolic computation in procedural programming languages. We compare results by implementing the algorithms in the programming package MATHEMATICA and in the procedural programming languages DELPHI and C++.


2018 ◽  
Vol 16 (2) ◽  
pp. 90
Author(s):  
Rohmial Rohmial

The objective of this study are : 1) the application of service delivery system that can be applied by Bank Goveerment in Palembang, 2) the influence of physical support on customers, 3) the influence of contact personnel on loyalty of the customers of Bank Goverment in Palembang, 4) the influence of service delivery system on customer loyalty at Bank Goverment in Palembang. This study is done by survey method so as to describe the response from respondents. The samples are taken by using simple random sampling with 100 respondents. The instruments are observation, quesionares and interview, the data analysis is done by using descriptive and matrix analysis. The results of this research shows that all independent variables (physical support and contact personnel) significantly and positively influence the dependent variables (loyalty of the customers).


10.2514/3.920 ◽  
1997 ◽  
Vol 11 ◽  
pp. 472-476
Author(s):  
Henry H. Kerr ◽  
F. C. Frank ◽  
Jae-Woo Lee ◽  
W. H. Mason ◽  
Ching-Yu Yang

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