 | 2009 |
| 9 |  | Taro Konda,
Yoshimasa Nakamura:
A new algorithm for singular value decomposition and its parallelization.
Parallel Computing 35(6): 331-344 (2009) |
| 2008 |
| 8 |  | Taro Konda,
Hiroki Toyokawa,
Yoshimasa Nakamura:
Evaluations of Parallel Double Divide and Conquer on a 16?core Computer.
PDPTA 2008: 790-796 |
| 2007 |
| 7 |  | Taro Konda,
Hiroaki Tsuboi,
Masami Takata,
Masashi Iwasaki,
Yoshimasa Nakamura:
Parallelism of double divide and conquer algorithm for singular value decomposition.
Parallel and Distributed Computing and Networks 2007: 367-372 |
| 2006 |
| 6 |  | Taro Konda,
Masami Takata,
Masashi Iwasaki,
Yoshimasa Nakamura:
A newsingular value decomposition algorithmsuited to parallelization and preliminary results.
ACST 2006: 79-84 |
| 5 |  | Hiroaki Tsuboi,
Taro Konda,
Masami Takata,
Kinji Kimura,
Masashi Iwasaki,
Yoshimasa Nakamura:
Evaluation of a New Eigen Decomposition Algorithm for Symmetric Tridiagonal Matrices.
PDPTA 2006: 832-838 |
| 4 |  | Masami Takata,
Taro Konda,
Kinji Kimura,
Yoshimasa Nakamura:
Verification of dLVv Transformation for Singular Vector Computation with High Accuracy.
PDPTA 2006: 881-887 |
| 3 |  | Taro Konda,
Hiroaki Tsuboi,
Masami Takata,
Masashi Iwasaki,
Yoshimasa Nakamura:
Preliminary Result of Parallel Double Divide and Conquer.
PDPTA 2006: 888-894 |
| 2002 |
| 2 |  | Taro Konda,
Tomohiro Yamaguchi:
LC-Learning: Phased Method for Average Reward Reinforcement Learning - Analysis of Optimal Criteria.
PRICAI 2002: 198-207 |
| 1 |  | Taro Konda,
Shinjiro Tensyo,
Tomohiro Yamaguchi:
LC-Learning: Phased Method for Average Reward Reinforcement Learning - Preliminary Results.
PRICAI 2002: 208-217 |