nnls

Versione 1.0.0.0 (1014 Byte) da Uriel Roque
block principal pivoting algorithm
2,1K download
Aggiornato 2 mag 2006

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solves the linear least squares problem with nonnegative variables using the block principal pivoting algorithm in:
Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with nonnegative variables, Mathematics of Computation, 63(1994), pp. 625-643

Cita come

Uriel Roque (2026). nnls (https://it.mathworks.com/matlabcentral/fileexchange/8157-nnls), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R14SP2
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Least Squares in Help Center e MATLAB Answers
Riconoscimenti

Ispirato: zeroSR1, LBFGSB (L-BFGS-B) mex wrapper

Versione Pubblicato Note della release
1.0.0.0

Algorithm corrected.
User can now select a random or a fixed initial permutation of the set of {1,...,n}
working with fixed permutations seems to be faster