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arismav
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fix docs
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docs/src/theory.md

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@@ -60,8 +60,8 @@ and ``f_k`` is the fraction of the ``k``th component.
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## Exponential fits
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Normally, we would use some type of [nonlinear regression]
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(https://en.wikipedia.org/wiki/Nonlinear_regression)
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Normally, we would use some type of
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[nonlinear regression](https://en.wikipedia.org/wiki/Nonlinear_regression)
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to handle cases where we already know that the system we
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study is made up of a limited number of components
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(``n`` would be 1,2 or maybe 3).
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This is a textbook example of an [inverse problem](https://en.wikipedia.org/wiki/Inverse_problem).
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The most commmon way to approach it would be [Tikhonov regularization]
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(https://en.wikipedia.org/wiki/Ridge_regression#Tikhonov_regularization),
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The most commmon way to approach it would be
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[Tikhonov regularization](https://en.wikipedia.org/wiki/Ridge_regression#Tikhonov_regularization),
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where we solve the following optimization problem :
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```math

docs/src/types_structs.md

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pdhgm
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cdL1
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optim_nnls
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jump_nnls
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```
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## Finding optimal alpha

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