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Poblano v 1.0

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/poblano_toolbox
https://doi.org/10.11578/dc.20171025.1208

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Abstract

Poblano is a Matlab toolbox of large-scale algorithms for nonlinear optimization. The algorithms in Poblano require only first-order derivative information (e.g., gradients for scalar-valued objective functions), and therefore can scale to very large problems [6].Poblano is a set of general purpose methods for solving unconstrained nonlinear optimization methods. It has been applied to standard test problems covering a range of application areas. The driving application for Poblano development has been tensor decompositions in data analysis applications (bibliometric analysis, social network analysis, chemometrics, etc.) [1].
Developers:
Release Date:
2009-12-11
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
MATLAB
M
Licenses:
Other (Commercial or Open-Source): https://ip.sandia.gov
Sponsoring Org.:
Code ID:
1438
Site Accession Number:
SCR# 1255.0
Research Org.:
Sandia National Laboratories
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/poblano_toolbox
https://doi.org/10.11578/dc.20171025.1208

SAVE / SHARE



SNL Badge

Citation Formats

Dunlavy, Daniel, Kolda, Tamara, and Acar Ataman, Evrim. Poblano v 1.0. Computer Software. https://github.com/sandialabs/poblano_toolbox. USDOE. 11 Dec. 2009. Web. doi:10.11578/dc.20171025.1208.
Dunlavy, Daniel, Kolda, Tamara, & Acar Ataman, Evrim. (2009, December 11). Poblano v 1.0. [Computer software]. https://github.com/sandialabs/poblano_toolbox. https://doi.org/10.11578/dc.20171025.1208.
Dunlavy, Daniel, Kolda, Tamara, and Acar Ataman, Evrim. "Poblano v 1.0." Computer software. December 11, 2009. https://github.com/sandialabs/poblano_toolbox. https://doi.org/10.11578/dc.20171025.1208.
@misc{ doecode_1438,
title = {Poblano v 1.0},
author = {Dunlavy, Daniel and Kolda, Tamara and Acar Ataman, Evrim},
abstractNote = {Poblano is a Matlab toolbox of large-scale algorithms for nonlinear optimization. The algorithms in Poblano require only first-order derivative information (e.g., gradients for scalar-valued objective functions), and therefore can scale to very large problems [6].Poblano is a set of general purpose methods for solving unconstrained nonlinear optimization methods. It has been applied to standard test problems covering a range of application areas. The driving application for Poblano development has been tensor decompositions in data analysis applications (bibliometric analysis, social network analysis, chemometrics, etc.) [1].},
doi = {10.11578/dc.20171025.1208},
url = {https://doi.org/10.11578/dc.20171025.1208},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20171025.1208}},
year = {2009},
month = {dec}
}