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Avoiding unwarranted inflection points in fitting of data
Author(s) -
Taitel Yehuda,
Tamir Abraham
Publication year - 1983
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690290122
Subject(s) - inflection point , inflection , mathematics , data point , experimental data , computer science , algorithm , statistics , artificial intelligence , geometry
This paper presents a method for correlating univariable experimental data, which avoids unwarranted inflection points by means of mathematical constraints fitted to sections of the data. The method was applied successfully to correlate thermodynamic data which are otherwise difficult to fit in without inflection points.