| 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 | 440 | 2001 |
| 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 | 328 | 2001 |
| 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 | 293 | 2020 |
| Exploiting sparsity in primal-dual interior-point methods for semidefinite programming K Fujisawa, M Kojima, K Nakata Mathematical Programming 79, 235-253, 1997 | 243 | 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 | 242 | 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 | 239 | 2002 |
| 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 | 139 | 2019 |
| A high-performance software package for semidefinite programs: SDPA 7 M Yamashita, K Fujisawa, K Nakata, M Nakata, M Fukuda, K Kobayashi, ... | 137 | 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 | 116 | 2012 |
| Numerical evaluation of SDPA (semidefinite programming algorithm) K Fujisawa, M Fukuda, M Kojima, K Nakata High performance optimization, 267-301, 2000 | 100 | 2000 |
| 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 | 62 | 2017 |
| 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 | 51 | 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 | 50 | 2007 |
| 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 | 44 | 2006 |
| 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 | 39 | 2018 |
| Positive definite matrix approximation with condition number constraint M Tanaka, K Nakata Optimization Letters 8 (3), 939-947, 2014 | 37 | 2014 |
| 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 | 31* | 2021 |
| Doubly robust prediction and evaluation methods improve uplift modeling for observational data Y Saito, H Sakata, K Nakata Proceedings of the 2019 SIAM international conference on data mining, 468-476, 2019 | 27 | 2019 |
| Using the conjugate gradient method in interior-points methods for semidefinite programs:(in japanese) K Nakata, K Fujisawa, M Kojima Institute of Technology, 1998 | 25 | 1998 |
| 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 | 24 | 2012 |
