Difference: DataFitting (4 vs. 5)
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Operations Research Topics: NonlinearProgrammingApplication Areas: Data AnalysisContents | |||||||||
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Problem DescriptionAlso known as The Least Squares Problem
When modelling data, scientists often want to fit an analytical model to their experimental data. In this case an experiment has provided some  -coordinates that have a growth curve shape, i.e., initially  increases quickly with  , thens tails off to some maximum value. The scientists in this study have suggested three possible functions to model this behaviour:
 and the data points  they want to find  ,  and  to minimize the squared distance between the data points and the estimates, i.e.,
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Computational Model | ||||||||
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-coordinates that have a growth curve shape, i.e., initially increases quickly with , thens tails off to some maximum value. The scientists in this study have suggested three possible functions to model this behaviour:
and the data points they want to find , and to minimize the squared distance between the data points and the estimates, i.e.,
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