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S‐NNLS: An efficient non‐negative least squares algorithm for sequential data
Author(s) -
Bombara Giuseppe,
Cococcioni Marco,
Lazzerini Beatrice,
Marcelloni Francesco
Publication year - 2011
Publication title -
international journal for numerical methods in biomedical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.741
H-Index - 63
eISSN - 2040-7947
pISSN - 2040-7939
DOI - 10.1002/cnm.1331
Subject(s) - least squares function approximation , algorithm , sequence (biology) , work (physics) , generalized least squares , non linear least squares , computer science , mathematics , statistics , estimation theory , engineering , estimator , biology , genetics , mechanical engineering
In this work, we propose sequential non‐negative least squares (S‐NNLS), an efficient algorithm for the solution of a sequence of non‐negative least squares problem, which is more efficient than its batch counterparts when data are collected sequentially. Copyright © 2009 John Wiley & Sons, Ltd.