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Version 1.9 Build 1556 |
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Package | utility | |
Module | functionals | |
Tool | functional |
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.
- 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]