The Best Parameter Subset Using the Chebychev Curve Fitting Criterion.

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Abstract:

The Chebychev also Minimax and L to infinity Norm criterion has been widely studied as a method for curve fitting. Published computer codes are available to obtain the optimal parameter estimates to fit a linear function to a set of given points under the Chebychev criterion. The purpose of this paper is to study procedures for obtaining the best subset of k parameters from a given set of m parameters where k is less-than-or-equal-to m. Author

Author(s):
Armstrong, A. ; Beck, P.
Author Organization(s):
TEXAS UNIV AT AUSTIN CENTER FOR CYBERNETIC STUDIES
Descriptive Note:
Research rept.,
Pagination:
0023

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
CCS-412
Contract/Grant Number(s):
N00014-75-C-0569
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_1.2_Force Preparation; JCA_1_Force Support; JCA_5.3_Planning; JCA_1.2.3_Educating
Modernization Areas:
Cyber
Communities of Interest:
Materials and Manufacturing Processes
Descriptor(s):
*Chebyshev approximations, *Curve fitting, Minimax technique, Machine coding, Parameters, Optimization, Estimates, Regression analysis, Linear programming, Points(Mathematics)
Field(s)/Group(s):
Statistics and Probability
Keyword(s):
Least absolute value
Report Date:
1981 Sep 01