Katsuki Fujisawa
Katsuki Fujisawa
Professor, Institute of Mathematics for Industry, Kyushu University
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Semidefinite programming for optimal power flow problems
X Bai, H Wei, K Fujisawa, Y Wang
International Journal of Electrical Power & Energy Systems 30 (6-7), 383-392, 2008
Variational calculations of fermion second-order reduced density matrices by semidefinite programming algorithm
M Nakata, H Nakatsuji, M Ehara, M Fukuda, K Nakata, K Fujisawa
The Journal of Chemical Physics 114 (19), 8282-8292, 2001
Implementation and evaluation of SDPA 6.0 (semidefinite programming algorithm 6.0)
M Yamashita, K Fujisawa, M Kojima
Optimization Methods and Software 18 (4), 491-505, 2003
Sdpa (semidefinite programming algorithm) user’s manual—version 6.2. 0
K Fujisawa, M Kojima, K Nakata, M Yamashita
Department of Mathematical and Com-puting Sciences, Tokyo Institute of …, 2002
Exploiting sparsity in primal-dual interior-point methods for semidefinite programming
K Fujisawa, M Kojima, K Nakata
Mathematical Programming 79, 235-253, 1997
Exploiting sparsity in semidefinite programming via matrix completion II: Implementation and numerical results
K Nakata, K Fujisawa, M Fukuda, M Kojima, K Murota
Mathematical Programming 95, 303-327, 2003
Semi-definite programming for topology optimization of trusses under multiple eigenvalue constraints
M Ohsaki, K Fujisawa, N Katoh, Y Kanno
Computer Methods in Applied Mechanics and Engineering 180 (1-2), 203-217, 1999
A high-performance software package for semidefinite programs: SDPA 7
M Yamashita, K Fujisawa, K Nakata, M Nakata, M Fukuda, K Kobayashi, ...
Tokyo, Japan, 2010
Latest developments in the SDPA family for solving large-scale SDPs
M Yamashita, K Fujisawa, M Fukuda, K Kobayashi, K Nakata, M Nakata
Handbook on semidefinite, conic and polynomial optimization, 687-713, 2012
PHoM–a polyhedral homotopy continuation method for polynomial systems
T Gunji, S Kim, M Kojima, A Takeda, K Fujisawa, T Mizutani
Computing 73, 57-77, 2004
Variational calculation of second-order reduced density matrices by strong N-representability conditions and an accurate semidefinite programming solver
M Nakata, BJ Braams, K Fujisawa, M Fukuda, JK Percus, M Yamashita, ...
The Journal of chemical physics 128 (16), 2008
SDPARA: Semidefinite programming algorithm parallel version
M Yamashita, K Fujisawa, M Kojima
Parallel Computing 29 (8), 1053-1067, 2003
Numerical evaluation of SDPA (semidefinite programming algorithm)
K Fujisawa, M Fukuda, M Kojima, K Nakata
High performance optimization, 267-301, 2000
Performance characteristics of Graph500 on large-scale distributed environment
T Suzumura, K Ueno, H Sato, K Fujisawa, S Matsuoka
2011 IEEE International Symposium on Workload Characterization (IISWC), 149-158, 2011
NUMA-optimized parallel breadth-first search on multicore single-node system
Y Yasui, K Fujisawa, K Goto
2013 IEEE International Conference on Big Data, 394-402, 2013
Sdpa-m (semidefinite programming algorithm in matlab) users manual: version 6.2. 0
K Fujisawa, Y Futakata, M Kojima, S Matsuyama, S Nakamura, K Nakata, ...
Research Reports on Mathematical and Computing Sciences, Series B: Operation …, 2000
SDPA PROJECT: SOLVING LARGE-SCALE SEMIDEFINITE PROGRAMS (< Special Issue> the 50th Anniversary of the Operations Research Society of Japan)
K Fujisawa, K Nakata, M Yamashita, M Fukuda
Journal of the Operations Research Society of Japan 50 (4), 278-298, 2007
Enumeration of all solutions of a combinatorial linear inequality system arising from the polyhedral homotopy continuation method
A Takeda, M Kojima, K Fujisawa
Journal of the Operations Research Society of Japan 45 (1), 64-82, 2002
A parallel primal–dual interior-point method for semidefinite programs using positive definite matrix completion
K Nakata, M Yamashita, K Fujisawa, M Kojima
Parallel Computing 32 (1), 24-43, 2006
Efficient breadth-first search on massively parallel and distributed-memory machines
K Ueno, T Suzumura, N Maruyama, K Fujisawa, S Matsuoka
Data Science and Engineering 2, 22-35, 2017
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