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Additional GEVP method with errors (#195)

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* Added the function error_gevp() to compute the gevp with statistical errors.

* Changed method name from error_gevp to error_GEVP and removed automatic gamma method

* added auto_gamma to error_GEVP

* Specified exceptions in Corr.error_GEVP

* Fixed a wrong path. It should be np.linalg.LinAlgError

* Added a test for error_GEVP

* The tests of error_gevp loads a test matrix

* Incorporated eigenvectors with uncertainties in GEVP routine

* Cleaned up GEVP routines

* Cleaned up breaking change from merge

* Released tolerance in test of GEVP

* Repaired broken GEVP test

---------

Co-authored-by: Simon Kuberski <simon.kuberski@uni-muenster.de>
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JanNeuendorf 2023-11-17 18:57:18 +01:00 • committed by GitHub
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pyerrors/linalg.py
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@ -271,6 +271,12 @@ def eig(obs, **kwargs):
return w
def eigv(obs, **kwargs):
"""Computes the eigenvectors of a given hermitian matrix of Obs according to np.linalg.eigh."""
v = derived_observable(lambda x, **kwargs: anp.linalg.eigh(x)[1], obs)
return v
def pinv(obs, **kwargs):
"""Computes the Moore-Penrose pseudoinverse of a matrix of Obs."""
return derived_observable(lambda x, **kwargs: anp.linalg.pinv(x), obs)