A Comparative Investigation of Computer Methods for Smoothing and Curve Fitting

Simple item page
dc.contributor.advisorStoutemyer, David
dc.contributor.authorKam, Gerard
dc.contributor.departmentElectrical Engineering
dc.date.accessioned2014-01-15T20:27:24Z
dc.date.available2014-01-15T20:27:24Z
dc.date.issued2014-01-15
dc.description.abstractSeven subroutines for smoothing and curve fitting in FORTRAN and PL/1 were tested and compared for accuracy, speed, and robustness. The smoothing methods were local linear and cubic polynomial fits, and triple exponential smoothing. The curve-fitting methods were approximation by cubic splines, orthogonal polynomials, and rational functions. The data for smoothing and fitting were values of analytic functions with known rounding and random errors. Accuracy of a subroutine was based on the reduction of the original errors. From the comparisons of the results applications of each subroutine were presented in terms of the most suitable types of curves for accurate smoothing and curve fitting.
dc.format.extentiv, 53 pages
dc.identifier.urihttp://hdl.handle.net/10125/32268
dc.publisherUniversity of Hawaii at Manoa
dc.rightsAll UHM Honors Projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
dc.titleA Comparative Investigation of Computer Methods for Smoothing and Curve Fitting
dc.typeTerm Project
dc.type.dcmiText

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Kam_Gerard.PDF
Size:
4.44 MB
Format:
Adobe Portable Document Format
Download

Collections

Honors Projects for Electrical Engineering