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Fix typo in README (#488)
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stelios-c authored Mar 26, 2024
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Expand Up @@ -23,7 +23,7 @@ provides functionality to perform statistical inference on estimated parameters.

- estimagic wraps algorithms from *scipy.optimize*, *nlopt*, *pygmo* and more.
- estimagic implements constraints efficiently via reparametrization, so you can solve
constrained problems with any optimzer that supports bounds.
constrained problems with any optimizer that supports bounds.
- The parameters of an optimization problem can be arbitrary pytrees
- The complete history of parameters and function evaluations can be saved in a database
for maximum reproducibility.
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