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A parameter estimation subroutine packageLinear least squares estimation and regression analyses continue to play a major role in orbit determination and related areas. In this report we document a library of FORTRAN subroutines that have been developed to facilitate analyses of a variety of estimation problems. Our purpose is to present an easy to use, multi-purpose set of algorithms that are reasonably efficient and which use a minimal amount of computer storage. Subroutine inputs, outputs, usage and listings are given along with examples of how these routines can be used. The following outline indicates the scope of this report: Section (1) introduction with reference to background material; Section (2) examples and applications; Section (3) subroutine directory summary; Section (4) the subroutine directory user description with input, output, and usage explained; and Section (5) subroutine FORTRAN listings. The routines are compact and efficient and are far superior to the normal equation and Kalman filter data processing algorithms that are often used for least squares analyses.
Document ID
19780017847
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Bierman, G. J.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Nead, M. W.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
September 3, 2013
Publication Date
April 15, 1978
Subject Category
Computer Programming And Software
Report/Patent Number
JPL-PUB-77-26-REV-1
NASA-CR-157165
Accession Number
78N25790
Funding Number(s)
CONTRACT_GRANT: NAS7-100
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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