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ORCIDTaro Konda
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2000 – 2009
- 2009
[j1]Taro Konda, Yoshimasa Nakamura:
A new algorithm for singular value decomposition and its parallelization. Parallel Comput. 35(6): 331-344 (2009)- 2008
- [c8]Taro Konda, Hiroki Toyokawa, Yoshimasa Nakamura:
Evaluations of Parallel Double Divide and Conquer on a 16?core Computer. PDPTA 2008: 790-796 - 2007
- [c7]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
- [c6]Taro Konda, Masami Takata, Masashi Iwasaki, Yoshimasa Nakamura:
A newsingular value decomposition algorithmsuited to parallelization and preliminary results. ACST 2006: 79-84 - [c5]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 - [c4]Masami Takata, Taro Konda, Kinji Kimura, Yoshimasa Nakamura:
Verification of dLVv Transformation for Singular Vector Computation with High Accuracy. PDPTA 2006: 881-887 - [c3]Taro Konda, Hiroaki Tsuboi, Masami Takata, Masashi Iwasaki, Yoshimasa Nakamura:
Preliminary Result of Parallel Double Divide and Conquer. PDPTA 2006: 888-894 - 2002
- [c2]Taro Konda, Tomohiro Yamaguchi:
LC-Learning: Phased Method for Average Reward Reinforcement Learning - Analysis of Optimal Criteria. PRICAI 2002: 198-207 - [c1]Taro Konda, Shinjiro Tensyo, Tomohiro Yamaguchi:
LC-Learning: Phased Method for Average Reward Reinforcement Learning - Preliminary Results. PRICAI 2002: 208-217
Coauthor Index
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