ls_ln_svd: Linear Least Squares, least norm solution (by svd)
In nlsic: Non Linear Least Squares with Inequality Constraints
ls_ln_svd R Documentation
Linear Least Squares, least norm solution (by svd)
Description
Least squares a%*%x ~= b of least norm ||x|| by using svd(a)
Usage
ls_ln_svd(a, b, rcond = 1e+10)
Arguments
a
dense matrix
b
right hand side vector
rcond
maximal condition number for determining rank deficient matrix
Value
solution vector
nlsic documentation built on July 10, 2023, 2:03 a.m.
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| ls_ln_svd | R Documentation |
Linear Least Squares, least norm solution (by svd)
Description
Least squares a%*%x ~= b of least norm ||x|| by using svd(a)
Usage
ls_ln_svd(a, b, rcond = 1e+10)
Arguments
a |
dense matrix |
b |
right hand side vector |
rcond |
maximal condition number for determining rank deficient matrix |
Value
solution vector
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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