Morozov discrepancy principle in statistical inverse problems with Poisson noise

Simulation code accompanying the article G.Mika, Z.Szkutnik, "Towards adaptivity via a new discrepancy principle for Poisson inverse problems".

Name		Name	Last commit message	Last commit date
Latest commit History 194 Commits
Simulations		Simulations
bessel_zeros		bessel_zeros
plots/estimate		plots/estimate
.gitignore		.gitignore
EstimatorSpectrum.py		EstimatorSpectrum.py
EstimatorsDiscretize.py		EstimatorsDiscretize.py
GeneralEstimator.py		GeneralEstimator.py
Generator.py		Generator.py
LICENSE		LICENSE
Operator.py		Operator.py
README.md		README.md
SVD.py		SVD.py
__init__.py		__init__.py
decorators.py		decorators.py
requirements.txt		requirements.txt
s_Dockerfile_landweber_beta		s_Dockerfile_landweber_beta
s_Dockerfile_landweber_bimodal		s_Dockerfile_landweber_bimodal
s_Dockerfile_landweber_smla		s_Dockerfile_landweber_smla
s_Dockerfile_landweber_smlb		s_Dockerfile_landweber_smlb
s_Dockerfile_tikhonov_beta		s_Dockerfile_tikhonov_beta
s_Dockerfile_tikhonov_bimodal		s_Dockerfile_tikhonov_bimodal
s_Dockerfile_tikhonov_smla		s_Dockerfile_tikhonov_smla
s_Dockerfile_tikhonov_smlb		s_Dockerfile_tikhonov_smlb
s_Dockerfile_tsvd_beta		s_Dockerfile_tsvd_beta
s_Dockerfile_tsvd_bimodal		s_Dockerfile_tsvd_bimodal
s_Dockerfile_tsvd_smla		s_Dockerfile_tsvd_smla
s_Dockerfile_tsvd_smlb		s_Dockerfile_tsvd_smlb
s_landweber_beta.py		s_landweber_beta.py
s_landweber_bimodal.py		s_landweber_bimodal.py
s_landweber_smla.py		s_landweber_smla.py
s_landweber_smlb.py		s_landweber_smlb.py
s_tikhonov_beta.py		s_tikhonov_beta.py
s_tikhonov_bimodal.py		s_tikhonov_bimodal.py
s_tikhonov_smla.py		s_tikhonov_smla.py
s_tikhonov_smlb.py		s_tikhonov_smlb.py
s_tsvd_beta.py		s_tsvd_beta.py
s_tsvd_bimodal.py		s_tsvd_bimodal.py
s_tsvd_smla.py		s_tsvd_smla.py
s_tsvd_smlb.py		s_tsvd_smlb.py
test_functions.py		test_functions.py
utils.py		utils.py

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GrzegorzMika/Morozov

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Morozov discrepancy principle in statistical inverse problems with Poisson noise

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