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Kazuhide Nakata
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Exploiting sparsity in semidefinite programming via matrix completion I: General framework
M Fukuda, M Kojima, K Murota, K Nakata
SIAM Journal on optimization 11 (3), 647-674, 2001
4232001
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
3082001
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
2392002
Exploiting sparsity in primal-dual interior-point methods for semidefinite programming
K Fujisawa, M Kojima, K Nakata
Mathematical Programming 79, 235-253, 1997
2371997
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
2352003
Unbiased recommender learning from missing-not-at-random implicit feedback
Y Saito, S Yaginuma, Y Nishino, H Sakata, K Nakata
Proceedings of the 13th International Conference on Web Search and Data …, 2020
2272020
A high-performance software package for semidefinite programs: SDPA 7
M Yamashita, K Fujisawa, K Nakata, M Nakata, M Fukuda, K Kobayashi, ...
1332010
Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor
R Tamura, K Kobayashi, Y Takano, R Miyashiro, K Nakata, T Matsui
Journal of Global Optimization 73, 431-446, 2019
1152019
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
1092012
Numerical evaluation of SDPA (semidefinite programming algorithm)
K Fujisawa, M Fukuda, M Kojima, K Nakata
High performance optimization, 267-301, 2000
1002000
Best subset selection for eliminating multicollinearity
R Tamura, K Kobayashi, Y Takano, R Miyashiro, K Nakata, T Matsui
Journal of the Operations Research Society of Japan 60 (3), 321-336, 2017
582017
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
502000
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
492007
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
412006
Solving the patient appointment scheduling problem in outpatient chemotherapy clinics using clustering and mathematical programming
M Heshmat, K Nakata, A Eltawil
Computers & Industrial Engineering 124, 347-358, 2018
362018
Positive definite matrix approximation with condition number constraint
M Tanaka, K Nakata
Optimization Letters 8 (3), 939-947, 2014
352014
Using the conjugate gradient method in interior-point methods for semidefinite programs
K Nakata, K Fujisawa, M Kojima
Proceedings of the Institute of Statistical Mathematics 46, 297-316, 1998
251998
Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization
K Kobayashi, Y Takano, K Nakata
Journal of Global Optimization 81 (2), 493-528, 2021
24*2021
Algorithm 925: Parallel solver for semidefinite programming problem having sparse schur complement matrix
M Yamashita, K Fujisawa, M Fukuda, K Nakata, M Nakata
ACM Transactions on Mathematical Software (TOMS) 39 (1), 1-22, 2012
242012
SDPA (SemiDefinite Programming Algorithm)
K Fujisawa, M Kojima, K Nakata, M Yamashita
URL http://grid. r. dendai. ac. jp/sdpa, 1995
241995
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Articles 1–20