S‐NNLS: An efficient non‐negative least squares algorithm for sequential data | Zendy

Bombara Giuseppe | Zendy; Cococcioni Marco | Zendy; Lazzerini Beatrice | Zendy; Marcelloni Francesco | Zendy

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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.

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