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Merge branch 'master' of github.com:florisvb/PyNumDiff into improve-fd
2 parents 2bb4b43 + 267b8c8 commit 2764aa1

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README.md

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@@ -9,8 +9,8 @@ Python methods for numerical differentiation of noisy data, including multi-obje
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</p>
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<p align="center">
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<a href='https://pynumdiff.readthedocs.io/en/master/?badge=master'>
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<img src='https://readthedocs.org/projects/pynumdiff/badge/?version=master' alt='Documentation Status' /></a>
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<a href='https://pynumdiff.readthedocs.io/master/'>
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<img src='https://app.readthedocs.org/projects/pynumdiff/badge/?version=master' alt='Documentation Status' /></a>
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<a href="https://badge.fury.io/py/pynumdiff">
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<img src="https://badge.fury.io/py/pynumdiff.svg" alt="PyPI version" height="18"></a>
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<a href="https://zenodo.org/badge/latestdoi/159711175">

pynumdiff/kalman_smooth/_kalman_smooth.py

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@@ -237,7 +237,7 @@ def known_dynamics(x, params, u=None, options=None, xhat0=None, P0=None, A=None,
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:param np.array C: measurement dynamics, MxN
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:param np.array Q: covariance matrix for the model, NxN
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:param np.array R: covariance matrix for the measurements, MxM
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:parma bool smooth: whether to run the RTS smoother step
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:param bool smooth: whether to run the RTS smoother step
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:return: np.array **x_hat** -- estimated (smoothed) x
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""" # Why not also returning derivative here?

pyproject.toml

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]
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docs = [
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"sphinx",
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"sphinx_rtd_theme"
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"sphinx_rtd_theme",
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"cvxpy"
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]
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[tool.setuptools_scm]

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