Pure component spectral reconstruction from mixture data using SVD, global entropy minimization, and simulated annealing. Numerical investigations of admissible objective functions using a synthetic 7-species data set

Journal of Computational Chemistry

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Main Authors:	Widjaja, E., Garland, M.
Other Authors:	CHEMICAL & ENVIRONMENTAL ENGINEERING
Format:	Article
Published:	2014
Subjects:	Entropy minimization Global optimization Pure component spectral reconstruction Simulated annealing Singular value decomposition
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/66778
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-66778
record_format	dspace
spelling	sg-nus-scholar.10635-667782023-08-29T09:49:24Z Pure component spectral reconstruction from mixture data using SVD, global entropy minimization, and simulated annealing. Numerical investigations of admissible objective functions using a synthetic 7-species data set Widjaja, E. Garland, M. CHEMICAL & ENVIRONMENTAL ENGINEERING Entropy minimization Global optimization Pure component spectral reconstruction Simulated annealing Singular value decomposition Journal of Computational Chemistry 23 9 911-919 JCCHD 2014-06-17T08:34:19Z 2014-06-17T08:34:19Z 2002-07-15 Article Widjaja, E., Garland, M. (2002-07-15). Pure component spectral reconstruction from mixture data using SVD, global entropy minimization, and simulated annealing. Numerical investigations of admissible objective functions using a synthetic 7-species data set. Journal of Computational Chemistry 23 (9) : 911-919. ScholarBank@NUS Repository. 01928651 http://scholarbank.nus.edu.sg/handle/10635/66778 000175774100006 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Entropy minimization Global optimization Pure component spectral reconstruction Simulated annealing Singular value decomposition
spellingShingle	Entropy minimization Global optimization Pure component spectral reconstruction Simulated annealing Singular value decomposition Widjaja, E. Garland, M. Pure component spectral reconstruction from mixture data using SVD, global entropy minimization, and simulated annealing. Numerical investigations of admissible objective functions using a synthetic 7-species data set
description	Journal of Computational Chemistry
author2	CHEMICAL & ENVIRONMENTAL ENGINEERING
author_facet	CHEMICAL & ENVIRONMENTAL ENGINEERING Widjaja, E. Garland, M.
format	Article
author	Widjaja, E. Garland, M.
author_sort	Widjaja, E.
title	Pure component spectral reconstruction from mixture data using SVD, global entropy minimization, and simulated annealing. Numerical investigations of admissible objective functions using a synthetic 7-species data set
title_short	Pure component spectral reconstruction from mixture data using SVD, global entropy minimization, and simulated annealing. Numerical investigations of admissible objective functions using a synthetic 7-species data set
title_full	Pure component spectral reconstruction from mixture data using SVD, global entropy minimization, and simulated annealing. Numerical investigations of admissible objective functions using a synthetic 7-species data set
title_fullStr	Pure component spectral reconstruction from mixture data using SVD, global entropy minimization, and simulated annealing. Numerical investigations of admissible objective functions using a synthetic 7-species data set
title_full_unstemmed	Pure component spectral reconstruction from mixture data using SVD, global entropy minimization, and simulated annealing. Numerical investigations of admissible objective functions using a synthetic 7-species data set
title_sort	pure component spectral reconstruction from mixture data using svd, global entropy minimization, and simulated annealing. numerical investigations of admissible objective functions using a synthetic 7-species data set
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/66778
_version_	1776257015649140736

Pure component spectral reconstruction from mixture data using SVD, global entropy minimization, and simulated annealing. Numerical investigations of admissible objective functions using a synthetic 7-species data set

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