Department of Policy and Planning Sciences, Graduate School of University of Tsukuba

YOSHISE Akiko

Position Professor
Room 3F1003
Laboratory 3E409
Principal affiliation Division of Policy and Planning Sciences
Other affiliations College of Policy and Planning Sciences
Doctoral Program in Social Systems and Management
Master's Program in Social Systems Engineering
Master's Program in Business Administration and Public Policy
Degree Programs in Systems and Information Engineering: Policy and Planning Sciences
Research interests Optimization, Mathematical Programming, Operations Research
Degree Master of Engineering (1987/03 Tokyo Institute of Technology)
Doctor of Engineering (1990/12 Tokyo Institute of Technology)
Education / Professional experience [Education]
1985 Graduated, Faculty of Engineering, Tokyo Institute of Technology
1987 Graduated, Master course, Graduate School, Division of Science and Engineering, Tokyo Institute of Technology
1990 Unfinished, Doctor course, Graduate School, Division of Science and Engineering, Tokyo Institute of Technology
[Professional experience]
1990/04-1991/03 University of Tsukuba, Research Assistant
1991/04-1993/06 University of Tsukuba, Assistant Professor
1993/07-2004/03 University of Tsukuba, Associate Professor
2004/04-2007/09 Associate Professor, Graduate School of Systems and Information Engineering, University of Tsukuba
2007/10- Professor, Graduate School of Systems and Information Engineering, University of Tsukuba

Courses taught [Undergraduate}
Workshop on Finding Problems and Solutions
Mathematical Programming
A Tongue of Mathematics
[SSE]
Advanced Optimization Theory and Methods
Professional Internship
Academic societies INFORMS, SIAM, Mathematical Programming, Operarions Research Society of Japan, Japan Society for Industrial and Applied Mathematics
Representative publications A. Yoshise. Interior Point Trajectories and a Homogeneous Model for Nonlinear Complementarity Problems over Symmetric Cones, SIAM Journal on Optimization 17(4), 1129-1153, 2006.
A. Suzuka, R. Miyashiro, A. Yoshise and T. Matsui. Semidefinite Programming Based Approaches to Home-away Assignment Problems in Sports Scheduling, Lecture Notes in Computer Science 3521, 95-103, 2005.
K. Hotta and A. Yoshise. Global Convergence of a Class of Non-interior-point Algorithms Using Chen-Harker-Kanzow Funcitons for Nonlinear Complementarity Problems, Mathematical Programming 86, 105-133, 1999.
A. Yoshise. Complementarity Problems, Interior Point View of Mathematical Programming (Chapter 7), 297-368, 1996.
M. Kojima, N. Megiddo, T. Noma and A. Yoshise. A Unified Approach to Interior Point Algorithms for Linear Complementarity Problems, Lecture Notes in Computer Science 538, 1-108, 1991.
M. Kojima, S. Mizuno and A. Yoshise. A Primal-Dual Interior Point Algorithm for Linear Programming
Progress in Mathematical Programming, Interior-Point and Related Method, 29-48, 1988.
Prize The Best Paper Award, Operations Research Society of Japan (2007/03/28) , Operations Research Society of Japan , DOMESTIC
The 2003 Funai Information Technology Prize (with M.Kojima, S.Shindoh, K.Nakata, S.Hara, K.Fujisawa, S.Mizuno and M.Yamashita), Funai Foundation for Information Technology (2005/03/31), DOMESTIC
INFORMS Frederick W. Lanchester Prize (with M. Kojima, S. Mizuno, N. Megiddo and T. Noma) (1993/11/02) , OVERSEAS
INFORMS Computing Society Prize (the former Computer Technical Section Prize of the Operations Research Society of America) (with M. Kojima, N. Megiddo and T. Noma) (1992/04/27) , OVERSEAS
The Best Student Paper Award, Operations Research Society of Japan (1987/10/14) , Operations Research Society of Japan , DOMESTIC
Research projects Optimization, sometimes called Mathematical Programming, is a collection of mathematical methods used to find the minimum (or maximum) value of a function under given constraints. Optimization models are used in nearly all areas, e.g., logistics engineering, finance engineering, control engineering, quantum chemistry, etc.
A well-known optimization model is the linear programming problem appeared in some high school textbooks. Recently, it has been extended to new optimization models, such as positive semi-definite programming problems and conic optimization problems, those are really hot research subjects in the field.
By use of conic optimization problems, it became possible to formulate new optimization problems, and to find high-accuracy solutions of some hard problems. I am interested in studying algorithms to solve the problems with numerical stability and their applications.
Guidelines for advisees Optimization may be a right research topic for students who are interested in mathematics or computer science, and want to know how they are used in the real world. Prerequisite knowledge can be obtained through undergraduate courses on “Linear Algebra” and “Calculus.” I will support students at each of undergraduate, master and doctoral courses to acquire the necessary expertise in optimization.

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Department of Policy and Planning Sciences, Graduate School of University of Tsukuba