1. K. Ozaki, T. Terao, T. Ogita, T. Katagiri: Verified numerical computations for large-scale linear systems, Applications of Mathematics, Vol. 66, No. 2 (2021), 269-285. [DOI: https://doi.org/10.21136/AM.2021.0318-19]
  2. T. Hoshi, T. Ogita, K. Ozaki, T. Terao: An a posteriori verification method for generalized Hermitian eigenvalue problems in large-scale electronic state calculations, Journal of Computational and Applied Mathematics, 376 (2020), Article 112830. [DOI: 10.1016/j.cam.2020.112830]
  3. D. Mukunoki, T. Ogita: Performance and energy consumption of accurate and mixed-precision linear algebra kernels on GPUs, Journal of Computational and Applied Mathematics, 372 (2020), Article 112701. [DOI: 10.1016/j.cam.2019.112701]
  4. A. Minamihata, T. Ogita, S. M. Rump, S. Oishi: Modified error bounds for approximate solutions of dense linear systems, Journal of Computational and Applied Mathematics, 369 (2020), Article 112546. [DOI: 10.1016/j.cam.2019.112546]
  5. T. Terao, K. Ozaki, T. Ogita: LU-Cholesky QR algorithms for thin QR decomposition, Parallel Computing, 92 (2020), Article 102571. [DOI: https://doi.org/10.1016/j.parco.2019.102571]
  6. D. Mukunoki, T. Ogita, K. Ozaki: Reproducible BLAS routines with tunable accuracy using Ozaki scheme for many-core architectures, Lecture Notes in Computer Science, 12043 (2020), 516-527. [DOI: https://doi.org/10.1007/978-3-030-43229-4] (Proceedings of the 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part I)
  7. T. Ogita, K. Aishima: Iterative refinement for singular value decomposition based on matrix multiplication, Journal of Computational and Applied Mathematics, 369 (2020), Article 112512. [DOI: 10.1016/j.cam.2019.112512]
  8. T. Terao, K. Ozaki, T. Ogita: Verified Numerical Computations for Standard Eigenvalue Problems on Supercomputers, Proceedings of the 38th JSST Annual International Conference on Simulation Technology (JSST2019), Miyazaki, Japan, 2019, pp.12-15.
  9. T. Ogita, K. Aishima: Iterative refinement for symmetric eigenvalue decomposition II: clustered eigenvalues, Japan Journal of Industrial and Applied Mathematics, Vol. 36, Issue 2 (2019), pp. 435-459. [DOI: 10.1007/s13160-019-00348-4]
  10. T. Ogita, K. Aishima: Iterative refinement for symmetric eigenvalue decomposition, Japan Journal of Industrial and Applied Mathematics, Vol. 35, Issue 3 (2018), pp.1007-1035. [DOI: 10.1007/s13160-018-0310-3]
  11. K. Ozaki, T. Ogita: Generation of linear systems with specified solutions for numerical experiments, Reliable Computing, Vol. 25 (2017), pp.148-167. (Special volume containing refereed papers from SCAN 2016)
  12. Y. Kobayashi, T. Ogita, K. Ozaki: Acceleration of a preconditioning method for ill-conditioned dense linear systems by use of a BLAS-based method, Reliable Computing, Vol. 25 (2017), pp.15-23. (Special volume containing refereed papers from SCAN 2016)