functional.masks - Function

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]

Next: functional.setmasks - Function Up: functional - Tool Previous: functional.setpar - Function Contents Index

	Package	utility
	Module	functionals
	Tool	functional