Outline
The Institute of Statistical Mathematics (ISM) in Tokyo, Zuse Institute
Berlin (ZIB) and the Institute of Mathematics for Industry (IMI) of
Kyushu University have established collaboration agreements in 2016,
confirming the mutual interest in cooperation for research in applied
mathematics and initiating a regular exchange between the institutes.
The first ISM-ZIB-IMI Joint workshop was carried out at ISM in Tokyo,
Japan, from 2017-01-19 to 2017-01-22, as the first step in collaborative
research in optimization and data-intensive High-Performance
Computing. Special focus was the organization of cooperation between research and industry.
The second ISM-ZIB-IMI MODAL workshop on Mathematical Optimization and
Data Analysis was held at ZIB in Berlin, Germany, from 2017-09-22 to
2017-09-26, as a workshop evolving the first joint workshop. Speakers from science and industry presented progressive achievement.
To build up on the success of the previous workshops the " 3rd IMI-ISM-ZIB
MODAL Workshop on Challenges in Real World Data Analytics and High-Performance Optimization"
will take place from 2018-09-26 to 2018-10-01 at the National Graduate Institute for Policy Studies (GRIPS) in Tokyo, Japan.
Registration
Please complete the online registration from here. (No entry fee)
Speakers & Panelists
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Atsushi Yoshimoto (The Institute of Statistical Mathematics, Japan)
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Shiro Ikeda (The Institute of Statistical Mathematics, Japan)
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Momoko Hayamizu (The Institute of Statistical Mathematics, Japan)
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Mirai Tanaka (The Institute of Statistical Mathematics, Japan)
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Tomoyuki Higuchi (The Institute of Statistical Mathematics, Japan)
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Hiroshi Maruyama (Preferred Networks, Inc., Japan)
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Kenji Fukumizu (The Institute of Statistical Mathematics, Japan)
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Junji Nakano (The Institute of Statistical Mathematics, Japan)
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Takashi Tsuchiya (National Graduate Institute for Policy Studies, Japan)
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Thorsten Koch (Zuse Institute Berlin, Germany)
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Yuji Shinano (Zuse Institute Berlin, Germany)
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Milena Petkovic (Zuse Institute Berlin, Germany)
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Gregor Hendel (Zuse Institute Berlin, Germany)
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Katsuki Fujisawa (The Institute of Mathematics for Industry, Kyushu University, Japan)
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Naoyuki Kamiyama (The Institute of Mathematics for Industry, Kyushu University, Japan)
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Yasuhide Fukumoto (The Institute of Mathematics for Industry, Kyushu University, Japan)
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Daniel Steffy (Oakland University, USA)
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Utz-Uwe Haus (Cray EMEA Research Lab, Switzerland)
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Joao Pedro Pedroso (University of Porto, Portugal)
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Nozomi Hata (Graduate school of Mathematics, Kyushu University, Japan)
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Akihiro Yoshida (Graduate school of Mathematics, Kyushu University, Japan)
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Akio Kawabata (NTT Network Service Systems Laboratories, Japan)
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Satoshi Ito (The Institute of Mathematics for Industry, Kyushu University, Japan)
Program
26.09.2018: SCIP Introduction
SCIP is currently one of the fastest non-commercial solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). It is also a framework for constraint integer programming and branch-cut-and-price. It allows for total control of the solution process and the access of detailed information down to the guts of the solver.
For paricipants
1. Please bring your laptop for hands-on training.
2. Please prepare a SCIP installation in advance on your laptop as follows.
Step 1: Download SCIP Optimization Suite
Step 2: Install SCIP Optimization Suite
Follow the instructions in README.md in the expanded directory.
CMake uses a default directory for installation, e.g., /usr/local on Linux.
If you want to install a specific directory, you should specify CMAKE_INSTALL_PREFIX.
Step 3: Install PySCIPOpt
If you have windows PC, you can get installer.
If you fail to install on your computer, we support to install it
on the SCIP Introduction day during the afternoon.
28.09.2018: Talks and Panel discussion
Contact
Workshop Secretariat
Email : 3rd_imi_ism_zib_ws@imi.kyushu-u.ac.jp
Access
