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README and CHANGELOG updated
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All notable changes to this project will be documented in this file.
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## [2.0.0] - 2021-??-??
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## Added
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- `CObs` class added which can handle complex valued observables
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- Matrix to matrix operations like the matrix inverse now also work for complex matrices and matrices containing entries that are not `Obs` but `float` or `int`
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- `Obs` objects now have methods `is_zero` and `is_zero_within_error`
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## [1.1.0] - 2021-10-11
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### Added
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- `Corr` class added
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@ -6,7 +6,7 @@ It is based on the **gamma method** [arXiv:hep-lat/0306017](https://arxiv.org/ab
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* **treatment of slow modes** in the simulation as suggested in [arXiv:1009.5228](https://arxiv.org/abs/1009.5228)
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* coherent **error propagation** for data from **different Markov chains**
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* **non-linear fits with x- and y-errors** and exact linear error propagation based on automatic differentiation as introduced in [arXiv:1809.01289]
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* **matrix valued operations** and their error propagation based on automatic differentiation (cholesky decomposition, calculation of eigenvalues and eigenvectors, singular value decomposition...)
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* **real and complex matrix operations** and their error propagation based on automatic differentiation (cholesky decomposition, calculation of eigenvalues and eigenvectors, singular value decomposition...)
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There exist similar implementations of gamma method error analysis suites in
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- [Fortran](https://gitlab.ift.uam-csic.es/alberto/aderrors)
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