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ZENODO
Dataset . 2016
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2016
License: CC BY
Data sources: ZENODO
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Generalized Approximate Message Passing Practical 2D Phase Transition Simulations Dataset

Authors: Oxvig, Christian Schou; Arildsen, Thomas; Larsen, Torben;

Generalized Approximate Message Passing Practical 2D Phase Transition Simulations Dataset

Abstract

This deposition contains the results from a simulation of phase transitions for various practical 2D problem suites when using the Generalised Approximate Message Passing (GAMP) reconstruction algorithm. The deposition consists of: Five HDF5 databases containing the results from the phase transition simulations (gamp_practical_2d_phase_transitions_ID_[0-4]_of_5.hdf5). The Python script which was used to create the databases (gamp_practical_2d_phase_transitions.py). A Python module with tools needed to run the simulations (gamp_pt_tools.py). MD5 and SHA256 checksums of the databases and Python scripts (gamp_practical_2d_phase_transitions.MD5SUMS / gamp_practical_2d_phase_transitions.SHA256SUMS). The HDF5 databases are licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/) . Since the CC BY 4.0 license is not well suited for source code, the Python scripts are licensed under the BSD 2-Clause license (http://opensource.org/licenses/BSD-2-Clause) . The files are provided as-is with no warranty as detailed in the above mentioned licenses.

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Keywords

Approximate Message Passing, Compressed Sensing, Undersampling, Reproducible Research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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