A Comparative Investigation of Computer Methods for Smoothing and Curve Fitting
Date
2014-01-15
Authors
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
University of Hawaii at Manoa
Volume
Number/Issue
Starting Page
Ending Page
Alternative Title
Abstract
Seven 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.
Description
Keywords
Citation
Extent
iv, 53 pages
Format
Geographic Location
Time Period
Related To
Related To (URI)
Table of Contents
Rights
All 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.
Rights Holder
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.