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Tanigawa Lab
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The lab tackles social and management problems with mathematical models and optimization.
AboutAbout the lab
Thinking about decision-making through mathematical models and optimization.
The Tanigawa Lab builds mathematical models for a wide range of social, economic, and management problems and develops decision-making methods based on optimization techniques.
Its specialties are mathematical optimization and operations research.
Aiming for methods that are more reliable and reproducible, the lab also studies the mathematics underlying optimization and techniques for designing algorithms.
In the university's lab introduction, example topics include discrete optimization such as resource allocation and delivery routing, optimization in data science such as recommender systems, and mathematical analysis of graphs and networks.
Key terms
- Operations research
- A field that represents social and management problems with mathematical models and supports decision-making using methods such as optimization
- Discrete optimization
- Optimization that selects the best option from combinations of separate, distinct choices. The lab's introduction gives resource allocation and delivery routing as examples
- Recommender systems
- Systems that select and show products or information likely to match a user's preferences. The lab's introduction gives them as an example of optimization in data science
ResearchResearch themes
The lab specializes in mathematical optimization and operations research, and conducts research that addresses social, economic, and management problems with mathematical models and optimization. In the university's researcher information, mathematical optimization, algorithm design, and discrete mathematics are listed as research keywords.
View More ↗MembersFaculty
- Associate ProfessorShinichi Tanigawa
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