Root-finding algorithm (e.g. fzero) on Additive Generalized Splines model
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Dear community,
In principle a model that is based on splines has localized functions to describe the relationship between inputs and outputs. I understand it is easy to compute the output given the input but what if I need to reverse the question and given the output I need to find the input? Obs. my function is monotonic for the interval I am considering.
- Is it possible to implement a root-finding algorithm when I have a black-box model like splines to work with? Could you show an example? I have only applied this to parametric models before.
Thanks for your help!
5 个评论
Vladimir Sovkov
2020-12-14
编辑：Vladimir Sovkov
2020-12-14
Find the function "fnzeros" in the Matlab documentation.
Gustavo Lunardon Quillo
2020-12-14
Steven Lord
2020-12-14
Can you show us the format in which the spline you created is stored? Different approaches may work if it's a struct array, a vector of breaks with an array of coefficients, a fit object from Curve Fitting Toolbox, etc.
Gustavo Lunardon Quillo
2020-12-15
Unai San Miguel
2021-1-21
Maybe this: |fnzeros(fncmb(spline, '-', a)|?
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2020-12-14
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