Refined reference documentation
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@ -29,19 +29,21 @@ using Sparse = Eigen::SparseMatrix<double>;
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* \brief Compute maximum Eigenpair with accelerated power method
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* \brief Compute maximum Eigenpair with accelerated power method
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*
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*
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* References :
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* References :
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* 1) Rosen, D. and Carlone, L., 2017, September. Computational
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* 1) G. Golub and C. V. Loan, Matrix Computations, 3rd ed. Baltimore, Johns
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* Hopkins University Press, 1996, pp.405-411
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* 2) Rosen, D. and Carlone, L., 2017, September. Computational
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* enhancements for certifiably correct SLAM. In Proceedings of the
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* enhancements for certifiably correct SLAM. In Proceedings of the
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* International Conference on Intelligent Robots and Systems.
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* International Conference on Intelligent Robots and Systems.
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* 2) Yulun Tian and Kasra Khosoussi and David M. Rosen and Jonathan P. How,
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* 3) Yulun Tian and Kasra Khosoussi and David M. Rosen and Jonathan P. How,
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* 2020, Aug, Distributed Certifiably Correct Pose-Graph Optimization, Arxiv
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* 2020, Aug, Distributed Certifiably Correct Pose-Graph Optimization, Arxiv
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* 3) C. de Sa, B. He, I. Mitliagkas, C. Ré, and P. Xu, “Accelerated
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* 4) C. de Sa, B. He, I. Mitliagkas, C. Ré, and P. Xu, “Accelerated
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* stochastic power iteration,” in Proc. Mach. Learn. Res., no. 84, 2018, pp.
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* stochastic power iteration,” in Proc. Mach. Learn. Res., no. 84, 2018, pp.
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* 58–67
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* 58–67
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*
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*
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* It performs the following iteration: \f$ x_{k+1} = A * x_k - \beta *
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* It performs the following iteration: \f$ x_{k+1} = A * x_k - \beta *
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* x_{k-1} \f$ where A is the aim matrix we want to get eigenpair of, x is the
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* x_{k-1} \f$ where A is the aim matrix we want to get eigenpair of, x is the
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* Ritz vector
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* Ritz vector
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*
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*
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* Template argument Operator just needs multiplication operator
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* Template argument Operator just needs multiplication operator
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*
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*
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*/
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*/
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@ -35,19 +35,21 @@ using Sparse = Eigen::SparseMatrix<double>;
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* \brief Compute maximum Eigenpair with power method
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* \brief Compute maximum Eigenpair with power method
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*
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*
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* References :
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* References :
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* 1) Rosen, D. and Carlone, L., 2017, September. Computational
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* 1) G. Golub and C. V. Loan, Matrix Computations, 3rd ed. Baltimore, Johns
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* Hopkins University Press, 1996, pp.405-411
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* 2) Rosen, D. and Carlone, L., 2017, September. Computational
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* enhancements for certifiably correct SLAM. In Proceedings of the
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* enhancements for certifiably correct SLAM. In Proceedings of the
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* International Conference on Intelligent Robots and Systems.
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* International Conference on Intelligent Robots and Systems.
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* 2) Yulun Tian and Kasra Khosoussi and David M. Rosen and Jonathan P. How,
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* 3) Yulun Tian and Kasra Khosoussi and David M. Rosen and Jonathan P. How,
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* 2020, Aug, Distributed Certifiably Correct Pose-Graph Optimization, Arxiv
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* 2020, Aug, Distributed Certifiably Correct Pose-Graph Optimization, Arxiv
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* 3) C. de Sa, B. He, I. Mitliagkas, C. Ré, and P. Xu, “Accelerated
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* 4) C. de Sa, B. He, I. Mitliagkas, C. Ré, and P. Xu, “Accelerated
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* stochastic power iteration,” in Proc. Mach. Learn. Res., no. 84, 2018, pp.
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* stochastic power iteration,” in Proc. Mach. Learn. Res., no. 84, 2018, pp.
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* 58–67
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* 58–67
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*
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*
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* It performs the following iteration: \f$ x_{k+1} = A * x_k \f$
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* It performs the following iteration: \f$ x_{k+1} = A * x_k \f$
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* where A is the aim matrix we want to get eigenpair of, x is the
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* where A is the aim matrix we want to get eigenpair of, x is the
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* Ritz vector
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* Ritz vector
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*
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*
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* Template argument Operator just needs multiplication operator
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* Template argument Operator just needs multiplication operator
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*
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*
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*/
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*/
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