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using System;
using IStation.Numerics.LinearAlgebra.Factorization;
namespace IStation.Numerics.LinearAlgebra.Double.Factorization
{
///
/// A class which encapsulates the functionality of the QR decomposition Modified Gram-Schmidt Orthogonalization.
/// Any real square matrix A may be decomposed as A = QR where Q is an orthogonal mxn matrix and R is an nxn upper triangular matrix.
///
///
/// The computation of the QR decomposition is done at construction time by modified Gram-Schmidt Orthogonalization.
///
internal abstract class GramSchmidt : GramSchmidt
{
protected GramSchmidt(Matrix q, Matrix rFull)
: base(q,rFull)
{
}
///
/// Gets the absolute determinant value of the matrix for which the QR matrix was computed.
///
public override double Determinant
{
get
{
if (FullR.RowCount != FullR.ColumnCount)
{
throw new ArgumentException("Matrix must be square.");
}
var det = 1.0;
for (var i = 0; i < FullR.ColumnCount; i++)
{
det *= FullR.At(i, i);
if (Math.Abs(FullR.At(i, i)).AlmostEqual(0.0))
{
return 0;
}
}
return Convert.ToSingle(Math.Abs(det));
}
}
///
/// Gets a value indicating whether the matrix is full rank or not.
///
/// true if the matrix is full rank; otherwise false.
public override bool IsFullRank
{
get
{
for (var i = 0; i < FullR.ColumnCount; i++)
{
if (Math.Abs(FullR.At(i, i)).AlmostEqual(0.0))
{
return false;
}
}
return true;
}
}
}
}