Execute Elementary Row and Column Operations on the Partitioned Matrix to Compute M-P Inverse A†
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-10
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
We first study the complexity of the algorithm presented in Guo and Huang (2010).
After that, a new explicit formula for computational of the Moore-Penrose inverse A† of a singular or rectangular matrix A.
This new approach is based on a modified Gauss-Jordan elimination process.
The complexity of the new method is analyzed and presented and is found to be less computationally demanding than the one presented in Guo and Huang (2010).
In the end, an illustrative example is demonstrated to explain the corresponding improvements of the algorithm.
American Psychological Association (APA)
Sheng, Xingping. 2014. Execute Elementary Row and Column Operations on the Partitioned Matrix to Compute M-P Inverse A†. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1014294
Modern Language Association (MLA)
Sheng, Xingping. Execute Elementary Row and Column Operations on the Partitioned Matrix to Compute M-P Inverse A†. Abstract and Applied Analysis No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1014294
American Medical Association (AMA)
Sheng, Xingping. Execute Elementary Row and Column Operations on the Partitioned Matrix to Compute M-P Inverse A†. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1014294
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014294