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pro vyhledávání: '"REHANA THALIB"'
Autor:
Maharani A Bakar, Rehana Thalib, Danang A Pratama, Nor Azlida Aleng, Siti Madihah Abd Malik, Mashuri Mashuri
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 17 (2023)
Lanczos iterative methods for solving a large sparse linear systems typically face the latent breakdown which strikes every time these methods are deployed. A number of approaches to deal with this issue have been investigated. One of them is by swit
Externí odkaz:
https://doaj.org/article/508a5d73e0bf4991b3f0f83fe3480dfa
Publikováno v:
Journal of Mathematical Sciences and Informatics. 1:11-24
This study investigates the combination of finite difference method (FDM) and the stabilized Lanczos method to solve various partial differential equation (PDE) problems. This combination is wrapped in the algorithms called hybrid FDMRMEIEMLA and hyb
Autor:
Rehana Thalib, Maharani A. Bakar
Publikováno v:
1ST INTERNATIONAL POSTGRADUATE CONFERENCE ON OCEAN ENGINEERING TECHNOLOGY AND INFORMATICS 2021 (IPCOETI 2021).
Publikováno v:
Annals of Emerging Technologies in Computing. 5:178-186
Support vector regression (SVR) is well known as a regression or prediction tool under the Machine Learning (ML) which preserves all the key features through the training data. Different from general prediction, here, we proposed SVR to predict the n
Autor:
Rehana Thalib, Maharani A. Bakar
Publikováno v:
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021).
Lanczos-type algorithms are an iterative methods for solving sym-metric and unsymmetric systems of linear equations (SLEs) which par-ticularly involving large numbers of variables and equations. One bigissue with these algorithms is known as breakdow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00a16721eb0b1992e1ce1a6573240440