ls_ln: Linear Least Squares, least norm solution

In nlsic: Non Linear Least Squares with Inequality Constraints

Linear Least Squares, least norm solution

Description

Linear Least Squares, least norm solution

Usage

ls_ln(a, b, rcond = 1e+10, mnorm = NULL, x0 = NULL)

Arguments

a	matrix or its QR decomposition
b	vector (or matrix if a is full rank) of right hand side
rcond	maximal condition number for rank definition
mnorm	norm matrix (can be dense or sparse) for which %*% operation with a dense vector is defined
x0	optional vector from which a least norm distance is searched for

Value

solution vector

nlsic documentation built on June 28, 2025, 1:08 a.m.