C# Class GSF.NumericalAnalysis.CurveFit

Linear regression algorithm.

Mostra file Open project: GridProtectionAlliance/gsf Class Usage Examples

Public Methods

Method	Description
Compute ( int polynomialOrder, IEnumerable values ) : double[]	Computes linear regression over given values.
LeastSquares ( double zValues, double xValues, double yValues, double &a, double &b, double &c ) : void	Uses least squares linear regression to estimate the coefficients a, b, and c from the given (x,y,z) data points for the equation z = a + bx + cy.

Private Methods

Method	Description
Compute ( int polynomialOrder, IList xValues, IList yValues ) : double[]

Method Details

Compute() public static method

Computes linear regression over given values.

public static Compute ( int polynomialOrder, IEnumerable values ) : double[]
polynomialOrder	int	An for the polynomial order.
values	IEnumerable	A list of values.
return	double[]

LeastSquares() public static method

Uses least squares linear regression to estimate the coefficients a, b, and c from the given (x,y,z) data points for the equation z = a + bx + cy.

public static LeastSquares ( double zValues, double xValues, double yValues, double &a, double &b, double &c ) : void
zValues	double	z-value array
xValues	double	x-value array
yValues	double	y-value array
a	double	the out a coefficient
b	double	the out b coefficient
c	double	the out c coefficient
return	void