General X/Y Model Fit w/Monte Carlo Error Analysis
Command-Line Argument List
Program modelXY, argument checking enabled.
Non-Linear Least-Squares Optimization:
modelXY
Optional flags:
-iseed seed [54321] Random Number Seed.
-iter maxIt [500] Maximum Number of Iterations.
-maxf maxEv [500] Maximum target Function Evaluations.
-dig nDig [5] Number of Good Digits in Target.
-tol relTol [1e-6] Relative Function Tolerance.
-cf confid [0.90] Confidence Interval for Error Calcs.
Optimization Modules:
-f77 F77 Optimization Module (Default).
-cc C Optimization Module.
-yz Yamazaki Optimization Module.
X/Y and Model Specification:
-x xList List of X Coords for Model.
-y yList List of Y Coords for Model.
-p pList List of Initial Values for Variables.
-macro macName Macro Which Defines Model Function.
Optional User Flags:
-a aList [None] List of Auxiliary Values.
-pHi hiList [Inf] Upper Parameter Bound List.
-pLo loList [-Inf] Lower Parameter Bound List.
-noise nList [0.0] List of Noise Estimates for Y Coords.
-yScale sFactor [1.0] Scale Factor for Y Coords.
-gc guessCnt [1] Number of Monte Carlo Trials.
-id fitID [0] An ID Number for this Analysis.
-res [No] Macro returns residual, not function.
User-Defined Macro Variables:
-var vList Variable Name/Numerical Value Pairs.
-str sList String Name/Text Value Pairs.
M-Language Macro Variables:
id (Input) ID Number for this Analysis.
lsRes (Input) Current Least-Squares Residual.
confid (Input) Confidence Interval, 0.0 to 1.0.
reportFlag (Input) 1=Optimization is Finished.
xList[xyCount] (Input) X-Coords for Model.
dList[xyCount] (Input) Y-Coords from Original Data.
qList[xyCount] (Input) Y-Coords from Monte Carlo Data.
nList[xyCount] (Input) Corresponding Noise Values.
eList[pCount] (Input) Monte Carlo Error Estimates.
(Only When reportFlag = 1)
pList[pCount] (Input) Current Model Parameters.
(Optimal When reportFlag = 1)
aList[aCount] (Input) Auxiliary values, if any.
yList[xyCount] (Output) Y-Coords for Model, from Macro.
Error extracting command arguments.
