Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
International Journal of Mathematics and Computer in Engineering
AHEAD OF PRINT
Open Access
A comparison of the convergence rates of Hestenes’ conjugate Gram-Schmidt method without derivatives with other numerical optimization methods
Md Nurul Raihen
Md Nurul Raihen
| Jun 03, 2024
International Journal of Mathematics and Computer in Engineering
AHEAD OF PRINT
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Article Category:
Original Study
Published Online:
Jun 03, 2024
Page range:
-
Received:
Sep 26, 2023
Accepted:
Feb 12, 2024
DOI:
https://doi.org/10.2478/ijmce-2025-0010
Keywords
Conjugate direction methods
,
numerical optimization
,
convergence rates
,
conjugate Gram-Schmidt without derivative
© 2025 Md Nurul Raihen, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Md Nurul Raihen
Fontbonne University, Department of Mathematics and Computer Science
Saint Louis, USA