miguelriemoliveira
commented
2 years ago Hi,
I don't think its possible.
But you could design a function like
f(x) = f(x-1) + a
Where a is always positive ...
On Fri, Nov 19, 2021, 20:44 Daniel Coelho @.***> wrote:
Hi @miguelriemoliveira https://github.com/miguelriemoliveira and @tiagomfmadeira https://github.com/tiagomfmadeira,
In order to guarantee that the polynomial regression is monotonically increasing in a certain domain (#61 https://github.com/miguelriemoliveira/OptimizationUtils/issues/61 ), I was thinking about introducing one constraint to the optimization, something like this:
f(x)' >= 0 ∀ x ∈ [0,255]}
I think this is possible using some optimization libraries, but using scipy.optimize.least_squares I don't know if it is possible. Have you explored this issue?
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Hi @miguelriemoliveira and @tiagomfmadeira,
In order to guarantee that the polynomial regression is monotonically increasing in a certain domain (#61 ), I was thinking about introducing one constraint to the optimization, something like this:
f(x)' >= 0 ∀ x ∈ [0,255]}I think this is possible using some optimization libraries, but using scipy.optimize.least_squares I don't know if it is possible. Have you explored this issue?