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CANDELINC2

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/CANDELINC2
https://doi.org/10.11578/dc.20240807.14

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Abstract

This work presents a method of performing PARAFAC2 factorization of a three-way data using a compact representation of the data. The data are decomposed into a core matrix and sets of orthogonal loading matrices. The algorithm is particularly useful for very large data sets and essentially permits imposition of nonnegativity in all three modes. SAND2019-10097 M Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
Developers:
Van Benthem, Mark [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Release Date:
2019-09-10
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
MATLAB
Version:
1.0
Licenses:
Other (Commercial or Open-Source): https://ip.sandia.gov
Sponsoring Org.:
Code ID:
48326
Site Accession Number:
SCR# 2413.0
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/CANDELINC2
https://doi.org/10.11578/dc.20240807.14

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Citation Formats

Van Benthem, Mark. CANDELINC2. Computer Software. https://github.com/sandialabs/CANDELINC2. USDOE. 10 Sep. 2019. Web. doi:10.11578/dc.20240807.14.
Van Benthem, Mark. (2019, September 10). CANDELINC2. [Computer software]. https://github.com/sandialabs/CANDELINC2. https://doi.org/10.11578/dc.20240807.14.
Van Benthem, Mark. "CANDELINC2." Computer software. September 10, 2019. https://github.com/sandialabs/CANDELINC2. https://doi.org/10.11578/dc.20240807.14.
@misc{ doecode_48326,
title = {CANDELINC2},
author = {Van Benthem, Mark},
abstractNote = {This work presents a method of performing PARAFAC2 factorization of a three-way data using a compact representation of the data. The data are decomposed into a core matrix and sets of orthogonal loading matrices. The algorithm is particularly useful for very large data sets and essentially permits imposition of nonnegativity in all three modes. SAND2019-10097 M Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20240807.14},
url = {https://doi.org/10.11578/dc.20240807.14},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240807.14}},
year = {2019},
month = {sep}
}