LSSQ Namespace Reference

Enumerations
enum	LeastSqResult { OK = 0 , TIMEOUT = 1 , ERROR = 2 }

Functions
LeastSqResult	nnLeastSquares (std::vector< std::vector< double > > a, std::vector< double > b, std::vector< double > &x, double *resid=nullptr)

Enumeration Type Documentation

LeastSqResult

enum LSSQ::LeastSqResult

Enumerator
OK
TIMEOUT
ERROR

Function Documentation

nnLeastSquares()

LSSQ::LeastSqResult LSSQ::nnLeastSquares	(	std::vector< std::vector< double > >	a,
		std::vector< double >	b,
		std::vector< double > &	x,
		double *	resid = nullptr
	)

@brief Least Squares Linear Regressor solves the least squares problem A * X

= B, X>=0

Parameters

a	NxM matrix A: the first index returns the vector of samples related to a single unknown, the second index individuates the sample
b	vector of known terms of size M
x	vector of size N to hold the solution output
resid	(optional) outputs the squared norm of the residual vector

Returns

0 = OK, 1 = TIMEOUT, 2 = ERROR

Referenced by UwRangingTokenBus::computeDist().