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* FullPivLU: replace "remaining==0" termination condition (from Golub) by a fuzzy compare
(fixes lu test failures when testing solve()) * LU test: set appropriate threshold and limit the number of times that a specially tricky test is run. (fixes lu test failures when testing rank()). * Tests: rename createRandomMatrixOfRank to createRandomProjectionOfRank
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@@ -36,7 +36,7 @@ template<typename MatrixType> void qr()
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typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> MatrixQType;
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typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> VectorType;
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MatrixType m1;
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createRandomMatrixOfRank(rank,rows,cols,m1);
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createRandomProjectionOfRank(rank,rows,cols,m1);
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ColPivHouseholderQR<MatrixType> qr(m1);
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VERIFY_IS_APPROX(rank, qr.rank());
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VERIFY(cols - qr.rank() == qr.dimensionOfKernel());
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@@ -64,7 +64,7 @@ template<typename MatrixType, int Cols2> void qr_fixedsize()
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typedef typename MatrixType::Scalar Scalar;
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int rank = ei_random<int>(1, std::min(int(Rows), int(Cols))-1);
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Matrix<Scalar,Rows,Cols> m1;
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createRandomMatrixOfRank(rank,Rows,Cols,m1);
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createRandomProjectionOfRank(rank,Rows,Cols,m1);
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ColPivHouseholderQR<Matrix<Scalar,Rows,Cols> > qr(m1);
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VERIFY_IS_APPROX(rank, qr.rank());
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VERIFY(Cols - qr.rank() == qr.dimensionOfKernel());
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