skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Data-Driven Polynomial Ridge Approximation Using Variable Projection

Abstract

Not provided.

Authors:
ORCiD logo;
Publication Date:
Research Org.:
Colorado School of Mines, Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1541724
DOE Contract Number:  
SC0011077
Resource Type:
Journal Article
Journal Name:
SIAM Journal on Scientific Computing
Additional Journal Information:
Journal Volume: 40; Journal Issue: 3; Journal ID: ISSN 1064-8275
Publisher:
SIAM
Country of Publication:
United States
Language:
English
Subject:
Mathematics

Citation Formats

Hokanson, Jeffrey M., and Constantine, Paul G. Data-Driven Polynomial Ridge Approximation Using Variable Projection. United States: N. p., 2018. Web. doi:10.1137/17m1117690.
Hokanson, Jeffrey M., & Constantine, Paul G. Data-Driven Polynomial Ridge Approximation Using Variable Projection. United States. doi:10.1137/17m1117690.
Hokanson, Jeffrey M., and Constantine, Paul G. Mon . "Data-Driven Polynomial Ridge Approximation Using Variable Projection". United States. doi:10.1137/17m1117690.
@article{osti_1541724,
title = {Data-Driven Polynomial Ridge Approximation Using Variable Projection},
author = {Hokanson, Jeffrey M. and Constantine, Paul G.},
abstractNote = {Not provided.},
doi = {10.1137/17m1117690},
journal = {SIAM Journal on Scientific Computing},
issn = {1064-8275},
number = 3,
volume = 40,
place = {United States},
year = {2018},
month = {1}
}