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Complete doc with MatrixXNt and MatrixNXt
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@ -277,6 +277,8 @@ Matrix<typename Scalar,
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Eigen defines the following Matrix typedefs:
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Eigen defines the following Matrix typedefs:
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\li \c MatrixNt for `Matrix<type, N, N>`. For example, \c MatrixXi for `Matrix<int, Dynamic, Dynamic>`.
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\li \c MatrixNt for `Matrix<type, N, N>`. For example, \c MatrixXi for `Matrix<int, Dynamic, Dynamic>`.
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\li \c MatrixXNt for `Matrix<type, Dynamic, N>`. For example, \c MatrixX3i for `Matrix<int, Dynamic, 3>`.
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\li \c MatrixNXt for `Matrix<type, N, Dynamic>`. For example, \c Matrix4Xd for `Matrix<d, 4, Dynamic>`.
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\li \c VectorNt for `Matrix<type, N, 1>`. For example, \c Vector2f for `Matrix<float, 2, 1>`.
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\li \c VectorNt for `Matrix<type, N, 1>`. For example, \c Vector2f for `Matrix<float, 2, 1>`.
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\li \c RowVectorNt for `Matrix<type, 1, N>`. For example, \c RowVector3d for `Matrix<double, 1, 3>`.
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\li \c RowVectorNt for `Matrix<type, 1, N>`. For example, \c RowVector3d for `Matrix<double, 1, 3>`.
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@ -3,10 +3,10 @@
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int main()
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int main()
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{
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{
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MatrixXf A = MatrixXf::Random(3, 2);
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Eigen::MatrixXf A = Eigen::MatrixXf::Random(3, 2);
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cout << "Here is the matrix A:\n" << A << endl;
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std::cout << "Here is the matrix A:\n" << A << std::endl;
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VectorXf b = VectorXf::Random(3);
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Eigen::VectorXf b = Eigen::VectorXf::Random(3);
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cout << "Here is the right hand side b:\n" << b << endl;
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std::cout << "Here is the right hand side b:\n" << b << std::endl;
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cout << "The least-squares solution is:\n"
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std::cout << "The least-squares solution is:\n"
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<< A.template bdcSvd<ComputeThinU | ComputeThinV>().solve(b) << endl;
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<< A.template bdcSvd<Eigen::ComputeThinU | Eigen::ComputeThinV>().solve(b) << std::endl;
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}
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}
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