README and CHANGELOG updated

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Fabian Joswig 2021-10-17 13:44:24 +01:00
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All notable changes to this project will be documented in this file. All notable changes to this project will be documented in this file.
## [2.0.0] - 2021-??-??
## Added
- `CObs` class added which can handle complex valued observables
- 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`
- `Obs` objects now have methods `is_zero` and `is_zero_within_error`
## [1.1.0] - 2021-10-11 ## [1.1.0] - 2021-10-11
### Added ### Added
- `Corr` class added - `Corr` class added

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* **treatment of slow modes** in the simulation as suggested in [arXiv:1009.5228](https://arxiv.org/abs/1009.5228) * **treatment of slow modes** in the simulation as suggested in [arXiv:1009.5228](https://arxiv.org/abs/1009.5228)
* coherent **error propagation** for data from **different Markov chains** * coherent **error propagation** for data from **different Markov chains**
* **non-linear fits with x- and y-errors** and exact linear error propagation based on automatic differentiation as introduced in [arXiv:1809.01289] * **non-linear fits with x- and y-errors** and exact linear error propagation based on automatic differentiation as introduced in [arXiv:1809.01289]
* **matrix valued operations** and their error propagation based on automatic differentiation (cholesky decomposition, calculation of eigenvalues and eigenvectors, singular value decomposition...) * **real and complex matrix operations** and their error propagation based on automatic differentiation (cholesky decomposition, calculation of eigenvalues and eigenvectors, singular value decomposition...)
There exist similar implementations of gamma method error analysis suites in There exist similar implementations of gamma method error analysis suites in
- [Fortran](https://gitlab.ift.uam-csic.es/alberto/aderrors) - [Fortran](https://gitlab.ift.uam-csic.es/alberto/aderrors)