mcrals.fcnnls: Fast combinatorial non-negative least squares
In mdatools: Multivariate Data Analysis for Chemometrics
mcrals.fcnnls R Documentation
Fast combinatorial non-negative least squares
Description
Fast combinatorial non-negative least squares
Usage
mcrals.fcnnls(
D,
A,
tol = 10 * .Machine$double.eps * as.numeric(sqrt(crossprod(A[, 1]))) * nrow(A)
)
Arguments
D
a matrix
A
a matrix
tol
tolerance parameter for algorithm convergence
Details
Computes Fast combinatorial NNLS solution for B: D = AB' subject to B >= 0. Implements
the method described in [1].
References
1. Van Benthem, M.H. and Keenan, M.R. (2004), Fast algorithm for the solution of large scale
non-negativity-constrained least squares problems. J. Chemometrics, 18: 441-450.
doi:10.1002/cem.889
mdatools documentation built on Sept. 11, 2024, 7:59 p.m.
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| mcrals.fcnnls | R Documentation |
Fast combinatorial non-negative least squares
Description
Fast combinatorial non-negative least squares
Usage
mcrals.fcnnls(
D,
A,
tol = 10 * .Machine$double.eps * as.numeric(sqrt(crossprod(A[, 1]))) * nrow(A)
)
Arguments
D |
a matrix |
A |
a matrix |
tol |
tolerance parameter for algorithm convergence |
Details
Computes Fast combinatorial NNLS solution for B: D = AB' subject to B >= 0. Implements the method described in [1].
References
1. Van Benthem, M.H. and Keenan, M.R. (2004), Fast algorithm for the solution of large scale non-negativity-constrained least squares problems. J. Chemometrics, 18: 441-450. doi:10.1002/cem.889
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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