A polynomial-time algorithm for a class of linear complementarity problems. - Masakazu Kojima; Shinji Mizuno; Akiko Yoshise (Math. Program., 1989)

Ellipsoids that Contain All the Solutions of a Positive Semi-Definite Linear Complementarity Problem. - Masakazu Kojima; Shinji Mizuno; Akiko Yoshise (Math. Program., 1990)

A Unified Approach to Interior Point Algorithms for Linear Complementarity Problems - Masakazu Kojima; Nimrod Megiddo; Toshihito Noma; Akiko Yoshise (Springer, 1991)

An O(square root(n) * L) iteration potential reduction algorithm for linear complementarity problems. - Masakazu Kojima; Shinji Mizuno; Akiko Yoshise (Math. Program., 1991)

A unified approach to interior point algorithms for linear complementarity problems: A summary. - Masakazu Kojima; Nimrod Megiddo; Toshihito Noma; Akiko Yoshise (Oper. Res. Lett., 1991)

A little theorem of the big Mu in interior point algorithms. - Masakazu Kojima; Shinji Mizuno; Akiko Yoshise (Math. Program., 1993)

Global convergence in infeasible-interior-point algorithms. - Masakazu Kojima; Toshihito Noma; Akiko Yoshise (Math. Program., 1994)

Polynomiality of primal-dual affine scaling algorithms for nonlinear complementarity problems. - Benjamin Jansen; Kees Roos; Tamás Terlaky; Akiko Yoshise (Math. Program., 1997)

Global convergence of a class of non-interior point algorithms using Chen-Harker-Kanzow-Smale functions for nonlinear complementarity problems. - Keisuke Hotta; Akiko Yoshise (Math. Program., 1999)

A Complexity Analysis of a Smoothing Method Using CHKS-functions for Monotone Linear Complementarity Problems. - Keisuke Hotta; Masatora Inaba; Akiko Yoshise (Comput. Optim. Appl., 2000)

A Complexity Bound of a Predictor-Corrector Smoothing Method Using CHKS-Functions for Monotone LCP. - Keisuke Hotta; Akiko Yoshise (Comput. Optim. Appl., 2002)

Semidefinite Programming Based Approaches to Home-Away Assignment Problems in Sports Scheduling. - Ayami Suzuka; Ryuhei Miyashiro; Akiko Yoshise; Tomomi Matsui (AAIM, 2005)

Dependent Randomized Rounding to the Home-Away Assignment Problem in Sports Scheduling. - Ayami Suzuka; Ryuhei Miyashiro; Akiko Yoshise; Tomomi Matsui (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006)

Interior Point Trajectories and a Homogeneous Model for Nonlinear Complementarity Problems over Symmetric Cones. - Akiko Yoshise (SIAM J. Optim., 2006)

On optimization over the doubly nonnegative cone. - Akiko Yoshise; Yasuaki Matsukawa (CACSD, 2010)

Virtual Machine packing algorithms for lower power consumption. - Satoshi Takahashi; Hidemoto Nakada; Atsuko Takefusa; Tomohiro Kudoh; Maiko Shigeno; Akiko Yoshise (CloudCom, 2012)

Abstract: Virtual Machine Packing Algorithms for Lower Power Consumption. - Satoshi Takahashi; Atsuko Takefusa; Maiko Shigeno; Hidemoto Nakada; Tomohiro Kudoh; Akiko Yoshise (SC Companion, 2012)

Poster: Virtual Machine Packing Algorithms for Lower Power Consumption. - Satoshi Takahashi; Atsuko Takefusa; Maiko Shigeno; Hidemoto Nakada; Tomohiro Kudoh; Akiko Yoshise (SC Companion, 2012)

Progress in the Healthcare Service Innovation Project at the Tsukuba University Hospital. - Hideaki Takagi; Hisashi Kurata; Yukihiko Okada; Maiko Shigeno; Akiko Yoshise; Yongbing Zhang 001; Keizo Yamashita (SRII Global Conference, 2012)

Power Efficient Virtual Machine Packing for Green Datacenter. - Satoshi Takahashi; Atsuko Takefusa; Maiko Shigeno; Hidemoto Nakada; Tomohiro Kudoh; Akiko Yoshise (Int. J. Next Gener. Comput., 2013)

Feature subset selection for logistic regression via mixed integer optimization. - Toshiki Sato; Yuichi Takano; Ryuhei Miyashiro; Akiko Yoshise (Comput. Optim. Appl., 2016)

LP-based tractable subcones of the semidefinite plus nonnegative cone. - Akihiro Tanaka; Akiko Yoshise (Ann. Oper. Res., 2018)

Bounds for two static optimization problems on routing and spectrum allocation of anycasting. - Yasutaka Miyagawa; Yosuke Watanabe; Maiko Shigeno; Kiyo Ishii; Atsuko Takefusa; Akiko Yoshise (Opt. Switch. Netw., 2019)

Optimizing the Strategic Decisions for One-Way Station-Based Carsharing Systems: A Mean-CVaR Approach. - Kai Zhang; Yuichi Takano; Yuzhu Wang; Akiko Yoshise (IEEE Access, 2021)

Polyhedral approximations of the semidefinite cone and their application. - Yuzhu Wang; Akihiro Tanaka; Akiko Yoshise (Comput. Optim. Appl., 2021)

Completely positive factorization by a Riemannian smoothing method. - Zhijian Lai; Akiko Yoshise (Comput. Optim. Appl., 2022)

Evaluating approximations of the semidefinite cone with trace normalized distance. - Yuzhu Wang; Akiko Yoshise (Optim. Lett., 2023)

Post-Processing with Projection and Rescaling Algorithms for Semidefinite Programming. - Shin-ichi Kanoh; Akiko Yoshise (CoRR, 2024)

Data Collaboration Analysis Over Matrix Manifolds. - Keiyu Nosaka; Akiko Yoshise (CoRR, 2024)

Riemannian Interior Point Methods for Constrained Optimization on Manifolds. - Zhijian Lai; Akiko Yoshise (J. Optim. Theory Appl., 2024)

A new extension of Chubanov's method to symmetric cones. - Shin-ichi Kanoh; Akiko Yoshise (Math. Program., 2024)