CaseStudyForm  

Title  DataFitting 
DateSubmitted  19 Feb 2008 
CaseStudyType  DIYCaseStudy 
OperationsResearchTopics  NonlinearProgramming 
ApplicationAreas  Data Analysis 
ProblemDescription 
Also 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:
Given one of the possible functions and the data points they want to find , and to minimize the squared distance between the data points and the estimates, i.e., The scientists have specified the number of data points and their coordinates in an AMPL data file regression.dat. The scientists want to know which of the suggested functions provides the best fit to the data. 
ProblemFormulation  The formulation... 
ComputationalModel  The computational model... 
Results  The results... 
Conclusions  In conclusion... 
ExtraForExperts 

StudentTasks 

I  Attachment  History  Action  Size  Date  Who  Comment 

dat  regression.dat  r1  manage  3.7 K  20080326  00:35  MichaelOSullivan 