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Hi @patrick-kidger , I've really enjoyed playing around with Lineax!
You have several iterative methods for square systems (CG, GMRES, BICGSTAB) but nothing for least squares problems.
I have a …
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- Figure out how the `bagpipes` calibration polynomial is defined and do an initial least-squares fit for the coefficients, assuming a continuum model that is itself a fairly flexible polynomial. Sin…
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Whipped this together earlier. Not sure on the stopping criterion, but it seems reasonable...
```julia
using ProximalOperators
# Define solvers
function NNLS_admm(A, b, x; tol = 1e-9, maxit = 50…
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Someone mentioned wanting to implement ALS (I think @daniel-severo ?)
I thought I'd raise an issue to solicit and discuss algorithms.
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### 📚 The doc issue
In the provided examples, the least square problem optimizes over all the parameters. However, in some applications, parts of the parameters are from the neural network and should…
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Hello,
I'm trying to use least_squares and got the following error.
NotImplementedError Traceback (most recent call last)
[](https://localhost:8080/#) in
----> 1 jac0=…
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This is useful in many cases where you want to ignore the influence of some data points. In potential-fields, these can be caused by interfering sources that don't interest you.
I can think of a fe…
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A particular case of the NMF is to find a vector x such that Ax=b where x is non-negative (and A is known), which is actually a least square problem with constraint x >= 0. The best-known algorithm t…