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Limit matrix size for other eigen and schur decompositions
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@ -118,7 +118,7 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
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MatrixType id = MatrixType::Identity(rows, cols);
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MatrixType id = MatrixType::Identity(rows, cols);
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VERIFY_IS_APPROX(id.operatorNorm(), RealScalar(1));
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VERIFY_IS_APPROX(id.operatorNorm(), RealScalar(1));
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if (rows > 1)
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if (rows > 1 && rows < 20)
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{
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{
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// Test matrix with NaN
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// Test matrix with NaN
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a(0,0) = std::numeric_limits<typename MatrixType::RealScalar>::quiet_NaN();
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a(0,0) = std::numeric_limits<typename MatrixType::RealScalar>::quiet_NaN();
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@ -63,7 +63,7 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
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MatrixType id = MatrixType::Identity(rows, cols);
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MatrixType id = MatrixType::Identity(rows, cols);
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VERIFY_IS_APPROX(id.operatorNorm(), RealScalar(1));
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VERIFY_IS_APPROX(id.operatorNorm(), RealScalar(1));
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if (rows > 2)
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if (rows > 2 && rows < 20)
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{
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{
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// Test matrix with NaN
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// Test matrix with NaN
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a(0,0) = std::numeric_limits<typename MatrixType::RealScalar>::quiet_NaN();
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a(0,0) = std::numeric_limits<typename MatrixType::RealScalar>::quiet_NaN();
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@ -91,7 +91,7 @@ template<typename MatrixType> void schur(int size = MatrixType::ColsAtCompileTim
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VERIFY_IS_EQUAL(rs1.matrixT(), rsOnlyT.matrixT());
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VERIFY_IS_EQUAL(rs1.matrixT(), rsOnlyT.matrixT());
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VERIFY_RAISES_ASSERT(rsOnlyT.matrixU());
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VERIFY_RAISES_ASSERT(rsOnlyT.matrixU());
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if (size > 2)
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if (size > 2 && rows < 20)
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{
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{
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// Test matrix with NaN
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// Test matrix with NaN
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A(0,0) = std::numeric_limits<typename MatrixType::Scalar>::quiet_NaN();
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A(0,0) = std::numeric_limits<typename MatrixType::Scalar>::quiet_NaN();
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