| dc.contributor.author | Fauziahanim, Che Seman | |
| dc.contributor.author | ShahNor, Basri | |
| dc.contributor.author | Ahmad Faizal, Mohd Zain | |
| dc.date.accessioned | 2011-09-13T03:54:14Z | |
| dc.date.available | 2011-09-13T03:54:14Z | |
| dc.date.issued | 2006-03 | |
| dc.identifier.citation | The Journal of the Institution of Engineers, Malaysia, vol. 67(1), 2006, pages 1-9 | en_US |
| dc.identifier.issn | 0126-513X | |
| dc.identifier.uri | http://www.myiem.org.my/content/iem_journal_2006-177.aspx | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/13728 | |
| dc.description | Link to publisher's homepage at http://www.myiem.org.my/ | en_US |
| dc.description.abstract | This paper describes the approximation of discrete data using splines. The approximation method is adapted from the
Chebyshev approximation. The procedures to find a set of extreme points for incoming discrete data are proposed. Several
algorithms using cubic spline and Lagrange polynomial are proposed to diffrentiate the results due to the number of iteration,
total number of the set of extreme points and error generated. The results show that the error generated decreases as the total
number of extreme points increase. Six extreme points can represent one hundred of points and the generated error can be
decreased. However, the algorithm presented uses more number of extreme points and will cause an increase in the total
number of iterations. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | The Institution of Engineers, Malaysia | en_US |
| dc.subject | Chebyshev approximation | en_US |
| dc.subject | Extreme points | en_US |
| dc.subject | Lagrange | en_US |
| dc.subject | Splines | en_US |
| dc.title | Two dimensional datamodeling and Chebyshev approximation of spline | en_US |
| dc.type | Article | en_US |
| dc.contributor.url | fauziahs@kuittho.edu.my | en_US |
