E-LIB Suche - Ergebnisse für: Ogita, Takeshi

1

On a quality measure for interval inclusions:

Rump, Siegfried M. ; Ogita, Takeshi
BIT Numerical Mathematics. 64 (2024) 2 - p. , 2024

Link: https://doi.org/10.1007/..

2

Infinite-Precision Inner Product and Sparse Matrix-Vector M..:

, In: Parallel Processing and Applied Mathematics; Lecture Notes in Computer Science,

Mukunoki, Daichi ; Ozaki, Katsuhisa ; Ogita, Takeshi. - p. 40-54 , 2023

Link: https://doi.org/10.1007/..

3

Conjugate Gradient Solvers with High Accuracy and Bit-wise ..:

, In: The International Conference on High Performance Computing in Asia-Pacific Region,

Mukunoki, Daichi ; Ozaki, Katsuhisa ; Ogita, Takeshi. - p. 100-109 , 2021

Link: https://dl.acm.org/doi/1..

4

Accurate Matrix Multiplication on Binary128 Format Accelera..:

, In: 50th International Conference on Parallel Processing,

Mukunoki, Daichi ; Ozaki, Katsuhisa ; Ogita, Takeshi. - p. 1-11 , 2021

Link: https://dl.acm.org/doi/1..

5

Generation of test matrices with specified eigenvalues usin..:

Ozaki, Katsuhisa ; Ogita, Takeshi
Numerical Algorithms. 90 (2021) 1 - p. 241-262 , 2021

Link: https://doi.org/10.1007/..

6

Foreword:

Nakao, Mitsuhiro T. ; Ogita, Takeshi ; Rump, Siegfried M.
Journal of Computational and Applied Mathematics. 382 (2021) - p. 113078 , 2021

Link: https://doi.org/10.1016/..

7

Performance and energy consumption of accurate and mixed-pr..:

Mukunoki, Daichi ; Ogita, Takeshi
Journal of Computational and Applied Mathematics. 372 (2020) - p. 112701 , 2020

Link: https://doi.org/10.1016/..

8

Iterative refinement for singular value decomposition based..:

Ogita, Takeshi ; Aishima, Kensuke
Journal of Computational and Applied Mathematics. 369 (2020) - p. 112512 , 2020

Link: https://doi.org/10.1016/..

9

The Essentials of verified numerical computations, rounding..:

Ozaki, Katsuhisa ; Ogita, Takeshi
Nonlinear Theory and Its Applications, IEICE. 11 (2020) 3 - p. 279-302 , 2020

Link: https://doi.org/10.1587/..

10

Modified error bounds for approximate solutions of dense li..:

Minamihata, Atsushi ; Ogita, Takeshi ; Rump, Siegfried M..
Journal of Computational and Applied Mathematics. 369 (2020) - p. 112546 , 2020

Link: https://doi.org/10.1016/..

11

LU-Cholesky QR algorithms for thin QR decomposition:

Terao, Takeshi ; Ozaki, Katsuhisa ; Ogita, Takeshi
Parallel Computing. 92 (2020) - p. 102571 , 2020

Link: https://doi.org/10.1016/..

12

LU-Cholesky QR algorithms for thin QR decomposition in an o..:

Terao, Takeshi ; Ozaki, Katsuhisa ; Ogita, Takeshi
Journal of Physics: Conference Series. 1490 (2020) 1 - p. 012067 , 2020

Link: https://doi.org/10.1088/..

13

An a posteriori verification method for generalized real-sy..:

Hoshi, Takeo ; Ogita, Takeshi ; Ozaki, Katsuhisa.
Journal of Computational and Applied Mathematics. 376 (2020) - p. 112830 , 2020

Link: https://doi.org/10.1016/..

14

Reproducible BLAS Routines with Tunable Accuracy Using Ozak..:

, In: Parallel Processing and Applied Mathematics; Lecture Notes in Computer Science,

Mukunoki, Daichi ; Ogita, Takeshi ; Ozaki, Katsuhisa - p. 516-527 , 2020

Link: https://doi.org/10.1007/..

15

DGEMM Using Tensor Cores, and Its Accurate and Reproducible..:

, In: Lecture Notes in Computer Science; High Performance Computing,

Mukunoki, Daichi ; Ozaki, Katsuhisa ; Ogita, Takeshi. - p. 230-248 , 2020

Link: https://doi.org/10.1007/..