C# 클래스 GSF.NumericalAnalysis.CurveFit

Linear regression algorithm.

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공개 메소드들

메소드	설명
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.

비공개 메소드들

메소드	설명
Compute ( int polynomialOrder, IList xValues, IList yValues ) : double[]

메소드 상세

Compute() 공개 정적인 메소드

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.
리턴	double[]

LeastSquares() 공개 정적인 메소드

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
리턴	void