Non-negative least squares (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Non-negative least squares" in English language version.

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arxiv.org

Boutsidis, Christos; Drineas, Petros (2009). "Random projections for the nonnegative least-squares problem". Linear Algebra and Its Applications. 431 (5–7): 760–771. arXiv:0812.4547. doi:10.1016/j.laa.2009.03.026.

berkeley.edu

digitalassets.lib.berkeley.edu

Stark, Philip B.; Parker, Robert L. (1995). "Bounded-variable least-squares: an algorithm and applications" (PDF). Computational Statistics. 10: 129.

doi.org

Bro, Rasmus; De Jong, Sijmen (1997). "A fast non-negativity-constrained least squares algorithm". Journal of Chemometrics. 11 (5): 393. doi:10.1002/(SICI)1099-128X(199709/10)11:5<393::AID-CEM483>3.0.CO;2-L.
Lin, Chih-Jen (2007). "Projected Gradient Methods for Nonnegative Matrix Factorization" (PDF). Neural Computation. 19 (10): 2756–2779. CiteSeerX 10.1.1.308.9135. doi:10.1162/neco.2007.19.10.2756. PMID 17716011.
Boutsidis, Christos; Drineas, Petros (2009). "Random projections for the nonnegative least-squares problem". Linear Algebra and Its Applications. 431 (5–7): 760–771. arXiv:0812.4547. doi:10.1016/j.laa.2009.03.026.
Lawson, Charles L.; Hanson, Richard J. (1995). "23. Linear Least Squares with Linear Inequality Constraints". Solving Least Squares Problems. SIAM. p. 161. doi:10.1137/1.9781611971217.ch23. ISBN 978-0-89871-356-5.
Franc, Vojtěch; Hlaváč, Václav; Navara, Mirko (2005). "Sequential Coordinate-Wise Algorithm for the Non-negative Least Squares Problem". Computer Analysis of Images and Patterns. Lecture Notes in Computer Science. Vol. 3691. pp. 407–414. doi:10.1007/11556121_50. ISBN 978-3-540-28969-2.
Johansson, B. R.; Elfving, T.; Kozlov, V.; Censor, Y.; Forssén, P. E.; Granlund, G. S. (2006). "The application of an oblique-projected Landweber method to a model of supervised learning". Mathematical and Computer Modelling. 43 (7–8): 892. doi:10.1016/j.mcm.2005.12.010.

mathworks.com

"lsqnonneg". MATLAB Documentation. Retrieved October 28, 2022.

nih.gov

pubmed.ncbi.nlm.nih.gov

Lin, Chih-Jen (2007). "Projected Gradient Methods for Nonnegative Matrix Factorization" (PDF). Neural Computation. 19 (10): 2756–2779. CiteSeerX 10.1.1.308.9135. doi:10.1162/neco.2007.19.10.2756. PMID 17716011.

ntu.edu.tw

csie.ntu.edu.tw

Lin, Chih-Jen (2007). "Projected Gradient Methods for Nonnegative Matrix Factorization" (PDF). Neural Computation. 19 (10): 2756–2779. CiteSeerX 10.1.1.308.9135. doi:10.1162/neco.2007.19.10.2756. PMID 17716011.

psu.edu

citeseerx.ist.psu.edu

Chen, Donghui; Plemmons, Robert J. (2009). Nonnegativity constraints in numerical analysis. Symposium on the Birth of Numerical Analysis. CiteSeerX 10.1.1.157.9203.
Lin, Chih-Jen (2007). "Projected Gradient Methods for Nonnegative Matrix Factorization" (PDF). Neural Computation. 19 (10): 2756–2779. CiteSeerX 10.1.1.308.9135. doi:10.1162/neco.2007.19.10.2756. PMID 17716011.

scipy.org

docs.scipy.org

"scipy.optimize.nnls". SciPy v0.13.0 Reference Guide. Retrieved 25 January 2014.

siam.org

epubs.siam.org

Lawson, Charles L.; Hanson, Richard J. (1995). "23. Linear Least Squares with Linear Inequality Constraints". Solving Least Squares Problems. SIAM. p. 161. doi:10.1137/1.9781611971217.ch23. ISBN 978-0-89871-356-5.