eprintid: 8800
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/88/00
datestamp: 2023-11-09 16:20:43
lastmod: 2023-11-09 16:20:43
status_changed: 2023-11-09 16:13:33
type: article
metadata_visibility: show
creators_name: Ibrahim, Z.B.
creators_name: Mohd Nasir, N.A.A.
creators_name: Othman, K.I.
creators_name: Zainuddin, N.
title: Adaptive order of block backward differentiation formulas for stiff ODEs
ispublished: pub
note: cited By 7
abstract: In this paper, Adapative Order of Block Backward Differentiation Formulas (ABBDFs) are formulated using uniform step size for the numerical solution of stiff ordinary differential equations (ODEs). These ABBDF methods are of order four, five and six. The benefit of the ABBDF methods is the computation time in the computation of solutions. Numerical results are presented to demonstrate the advantage of implementing adaptive order selection in a single code. © 2010 Mathematics Subject Classification.
date: 2017
publisher: American Institute of Mathematical Sciences
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013745612&doi=10.3934%2fnaco.2017006&partnerID=40&md5=1fc01320d5bc78288613768fa5298add
id_number: 10.3934/naco.2017006
full_text_status: none
publication: Numerical Algebra, Control and Optimization
volume: 7
number: 1
pagerange: 95-106
refereed: TRUE
issn: 21553289
citation:   Ibrahim, Z.B. and Mohd Nasir, N.A.A. and Othman, K.I. and Zainuddin, N.  (2017) Adaptive order of block backward differentiation formulas for stiff ODEs.  Numerical Algebra, Control and Optimization, 7 (1).  pp. 95-106.  ISSN 21553289