| _version_ |
1860800060569157632
|
| building |
INTELEK Repository
|
| collection |
Online Access
|
| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
|
| date |
2020-01-14 03:53:22
|
| eventvenue |
Penang, Malaysia
|
| format |
Restricted Document
|
| id |
8488
|
| institution |
UniSZA
|
| originalfilename |
1899-01-FH03-FIK-20-36378.pdf
|
| person |
Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML
like Gecko) Chrome/79.0.3945.88 Safari/537.36
|
| recordtype |
oai_dc
|
| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=8488
|
| spelling |
8488 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=8488 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper application/pdf 5 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML like Gecko) Chrome/79.0.3945.88 Safari/537.36 2020-01-14 03:53:22 1899-01-FH03-FIK-20-36378.pdf UniSZA Private Access A new modified RMIL CG method with global convergence properties The Conjugate Gradient (CG) method is an approach commonly used to solve large-scale optimization issues. This method is considered efficient for its properties of global convergence and low requirements for memory. In this study, we proposed a novel CG coefficient γ using the method developed by Rivaie-Mustafa-Ismail-Leong (RMIL). The suggested technique is shown to have global convergence under exact line search. This is reinforced by the numerical test results, which concurrently indicate that the new CG method is more efficient in comparison with the current CG methods. 1st International Conference on Mathematical Sciences and Technology 2018 Penang, Malaysia
|
| spellingShingle |
A new modified RMIL CG method with global convergence properties
|
| summary |
The Conjugate Gradient (CG) method is an approach commonly used to solve large-scale optimization issues. This method is considered efficient for its properties of global convergence and low requirements for memory. In this study, we proposed a novel CG coefficient γ using the method developed by Rivaie-Mustafa-Ismail-Leong (RMIL). The suggested technique is shown to have global convergence under exact line search. This is reinforced by the numerical test results, which concurrently indicate that the new CG method is more efficient in comparison with the current CG methods.
|
| title |
A new modified RMIL CG method with global convergence properties
|
| title_full |
A new modified RMIL CG method with global convergence properties
|
| title_fullStr |
A new modified RMIL CG method with global convergence properties
|
| title_full_unstemmed |
A new modified RMIL CG method with global convergence properties
|
| title_short |
A new modified RMIL CG method with global convergence properties
|
| title_sort |
new modified rmil cg method with global convergence properties
|