Mathematical Optimization and Linear Programming (Operations Research)
For those who are wondering what that is, this site is for you. Among those who enter the field based on trends or hype, there are some who think that if they just manipulate data and apply machine learning, something will come out of it. So, it is important to take the step of creating mathematical models that delve into decision-making.
If we limit the scope to mathematical programming, A Gentle Introduction to Optimization (unpatti.ac.id) seems good. However, for starters, the following are definitely easier to understand as they provide an overview and are in Japanese.
Formulation techniques for practical use have been moved to a separate page.
If you want to know about more difficult topics, look here. Considering the frequency of problems that arise in practice, this is just for reference.
Information regarding tools. For linear programming modeling alone, R is faster, but there is also an intention to study the Python side when considering integration with tools like Google's.
Information regarding 'optimization solvers' that actually solve mathematically modeled problems is consolidated on a separate page.
Also, regarding the use of 'quantum computers,' which are solvers specialized for integer optimization, I have moved it to the following page as it would not fit in terms of volume on this page and the topic is slightly different.
Aside from MSI, this is probably the only place in Japan that does optimization at a scale where they can build a team; others, if they exist, are specialized in certain problems or fields.
For those who want to see other information, go to the table of contents page
Starting over by organizing collected information | Kusuguttagari | note