C# Класс PolynominalRegression, MathExpressions.NET

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Открытые методы

Метод	Описание
Calculate ( double x ) : double
PolynominalRegression ( MathNet.Numerics.LinearAlgebra.Double.DenseVector xData, MathNet.Numerics.LinearAlgebra.Double.DenseVector yData, int order ) : MathNet.Numerics.LinearAlgebra	Calculates polynom regression for xData = [x1, x2, ... , xn] and yData = [y1, y2, ... , yn].
PolynominalRegression ( MathNet.Numerics.LinearAlgebra.Double.DenseVector yData, int order ) : MathNet.Numerics.LinearAlgebra	Calculates polynom regression for xData = [0, 1, ... , n] and yData = [y1, y2, ... , yn].

Приватные методы

Метод	Описание
TransposeAndMult ( Matrix m, Vector, v ) : MathNet.Numerics.LinearAlgebra.Double.DenseVector
VandermondeRow ( double x ) : Vector

Описание методов

Calculate() публичный Метод

public Calculate ( double x ) : double
x	double
Результат	double

PolynominalRegression() публичный Метод

Calculates polynom regression for xData = [x1, x2, ... , xn] and yData = [y1, y2, ... , yn].

public PolynominalRegression ( MathNet.Numerics.LinearAlgebra.Double.DenseVector xData, MathNet.Numerics.LinearAlgebra.Double.DenseVector yData, int order ) : MathNet.Numerics.LinearAlgebra
xData	MathNet.Numerics.LinearAlgebra.Double.DenseVector
yData	MathNet.Numerics.LinearAlgebra.Double.DenseVector
order	int	Order of output polynom.
Результат	MathNet.Numerics.LinearAlgebra

PolynominalRegression() публичный Метод

Calculates polynom regression for xData = [0, 1, ... , n] and yData = [y1, y2, ... , yn].

public PolynominalRegression ( MathNet.Numerics.LinearAlgebra.Double.DenseVector yData, int order ) : MathNet.Numerics.LinearAlgebra
yData	MathNet.Numerics.LinearAlgebra.Double.DenseVector
order	int	Order of output polynom.
Результат	MathNet.Numerics.LinearAlgebra