diff --git a/src/Numerics/LinearAlgebra/Single/Factorization/DenseQR.cs b/src/Numerics/LinearAlgebra/Single/Factorization/DenseQR.cs index 65a454b0..c29cbafc 100644 --- a/src/Numerics/LinearAlgebra/Single/Factorization/DenseQR.cs +++ b/src/Numerics/LinearAlgebra/Single/Factorization/DenseQR.cs @@ -65,24 +65,24 @@ namespace MathNet.Numerics.LinearAlgebra.Single.Factorization throw Matrix.DimensionsDontMatch(matrix); } - var Tau = new float[Math.Min(matrix.RowCount, matrix.ColumnCount)]; - Matrix Q; - Matrix MatrixR; + var tau = new float[Math.Min(matrix.RowCount, matrix.ColumnCount)]; + Matrix q; + Matrix r; if (method == QRMethod.Full) { - MatrixR = matrix.Clone(); - Q = new DenseMatrix(matrix.RowCount); - Control.LinearAlgebraProvider.QRFactor(((DenseMatrix) MatrixR).Values, matrix.RowCount, matrix.ColumnCount, ((DenseMatrix) Q).Values, Tau); + r = matrix.Clone(); + q = new DenseMatrix(matrix.RowCount); + Control.LinearAlgebraProvider.QRFactor(((DenseMatrix) r).Values, matrix.RowCount, matrix.ColumnCount, ((DenseMatrix) q).Values, tau); } else { - Q = matrix.Clone(); - MatrixR = new DenseMatrix(matrix.ColumnCount); - Control.LinearAlgebraProvider.ThinQRFactor(((DenseMatrix) Q).Values, matrix.RowCount, matrix.ColumnCount, ((DenseMatrix) MatrixR).Values, Tau); + q = matrix.Clone(); + r = new DenseMatrix(matrix.ColumnCount); + Control.LinearAlgebraProvider.ThinQRFactor(((DenseMatrix) q).Values, matrix.RowCount, matrix.ColumnCount, ((DenseMatrix) r).Values, tau); } - return new DenseQR(Q, MatrixR, method, Tau); + return new DenseQR(q, r, method, tau); } DenseQR(Matrix q, Matrix rFull, QRMethod method, float[] tau)