Advantages of soft versus hard constraints in self-modeling curve resolution problems. Penalty alternating least squares (P-ALS) extension to multi-way problems

Applied Spectroscopy

Volumn 62, Issue 2, 2008, Pages 197-206

  Richards, Selena ^a   Miller, Robert ^b   Gemperline, Paul ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b EAST CAROLINA UNIVERSITY   (United States)

Author keywords

ALS; Alternating least squares; Esterification reactions; MCR; Multivariate curve resolution; Self modeling curve resolution; SMCR; Soft constraints

Indexed keywords

ACETIC ANHYDRIDE; ALTERNATING LEAST SQUARES; MULTIVARIATE CURVE RESOLUTION (MCR); SELF MODELING CURVE RESOLUTION; SOFT CONSTRAINTS;

CATALYSIS; DATA ACQUISITION; ESTERIFICATION; NEAR INFRARED SPECTROSCOPY; PROBLEM SOLVING;

LEAST SQUARES APPROXIMATIONS;

ACETIC ANHYDRIDE; BUTANOL; PYRIDINE; PYRIDINE DERIVATIVE;

ARTICLE; CHEMICAL MODEL; CHEMISTRY; COMPUTER SIMULATION; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

1-BUTANOL; ACETIC ANHYDRIDES; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; MODELS, CHEMICAL; MODELS, STATISTICAL; PYRIDINES; SPECTROSCOPY, NEAR-INFRARED;

EID: 39749162857     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/000370208783575645     Document Type: Article

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