/// <summary>Initializes a new instance of the <see cref="LeastSquaresRegression"/> class.
/// </summary>
/// <param name="order">The order of the regression.</param>
/// <param name="basisFunctions">The basis functions to take into account for the regression.</param>
/// <param name="absoluteSingularValueThreshold">The absolute threshold for singular values, i.e. singular values less than the threshold are assumed to be <c>0.0</c>.</param>
/// <param name="relativeSingularValueThreshold">The relative threshold for singular values, i.e. singular values less than the product of the relative threshold and the greatest singular value are assumed to be <c>0.0</c>.</param>
public LeastSquaresRegression(int order, ILeastSquaresRegressionBasisFunctions basisFunctions, double absoluteSingularValueThreshold = MachineConsts.Epsilon, double relativeSingularValueThreshold = MachineConsts.Epsilon)
: base(CurveResource.AnnotationParametrizationLeastSquares, order + 1)
{
BasisFunctions = basisFunctions ?? throw new ArgumentNullException(nameof(basisFunctions));
if (order < 1)
{
throw new ArgumentOutOfRangeException(nameof(order));
}
Order = order;
AbsoluteSingularValueThreshold = absoluteSingularValueThreshold;
RelativeSingularValueThreshold = relativeSingularValueThreshold;
m_Name = new IdentifierString(String.Format("LeastSquareRegression {0}", order));
m_LongName = new IdentifierString(String.Format(CurveResource.LongNameParametrizationLeastSquares, order));
}
/// <summary>Initializes a new instance of the <see cref="WeightedLeastSquaresRegression"/> class.
/// </summary>
/// <param name="order">The order of the regression.</param>
/// <param name="basisFunction">The basis function to take into account for the regression.</param>
/// <param name="absoluteSingularValueThreshold">The absolute threshold for singular values, i.e. singular values less than the threshold are assumed to be <c>0.0</c>.</param>
/// <param name="relativeSingularValueThreshold">The relative threshold for singular values, i.e. singular values less than the product of the relative threshold and the greatest singular value are assumed to be <c>0.0</c>.</param>
public WeightedLeastSquaresRegression(int order, ILeastSquaresRegressionBasisFunctions basisFunction, double absoluteSingularValueThreshold = MachineConsts.Epsilon, double relativeSingularValueThreshold = MachineConsts.Epsilon)
: base(order + 1)
{
if (basisFunction == null)
{
throw new ArgumentNullException("baisFunction");
}
m_BasisFunction = basisFunction;
if (order < 1)
{
throw new ArgumentOutOfRangeException("order");
}
m_Order = order;
m_AbsoluteSingularValueThreshold = absoluteSingularValueThreshold;
m_RelativeSingularValueThreshold = relativeSingularValueThreshold;
m_Name = new IdentifierString("WeightedLeastSquareRegression");
}
