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functional.masks - Function



Package utility
Module functionals
Tool functional


Show the functional masks


Synopsis
masks()


Arguments



Returns
boolean array or fail


Description

Return the mask values. The mask is used when the functional is fitted. A false (F) mask indicates that the parameter is not to be solved. It also indicates (by the same token) that no derivative is calculated for that parameter by fdf.



Example
- a:=dfs.gaussian1d()
- a.masks()
[T T T]  
- a.fdf([0,1])
[[1:2,]
    1      1      0        0
    0.0625 0.0625 0.346574 0.346574] 
- a.setmask(2,F)
[T F T]  
- a.fdf([0,1])   
x0: 
[[1:2,]
    1      1      0 0
    0.0625 0.0625 0 0.346574]





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