Course title
6M0175001
Applied Linear Algebra B

FUKUDA Akiko
Course content
Max-plus (or min-plus) algebras are algebras called idempotent semirings, which have various origins in applications and have developed independently in each field of application. In recent years, a research area called tropical geometry has been actively studied in mathematics. Tropical geometry is an algebraic geometry on max-plus algebras. On the other hand, many properties and theorems well known in linear algebra are known to have similar properties in max-plus algebra, and are sometimes called tropical linear algebra.
In this class, we will discuss the basic properties of the max-plus algebra and its relation to graph theory, as well as eigenvalues and eigenvectors in max-plus algebras and their applications.
Purpose of class
The purpose of this class is to understand the basic properties of max-plus algebras and their relation to graph theory, as well as eigenvalues and eigenvectors in max-plus algebras and their applications.
Goals and objectives
  1. Students can understand the definition and basic properties of max-plus algebra
  2. Students can understand linear algebra over max-plus algebra, properties of eigenvalues and eigenvectors, and their applications.
  3. Students can understand the mim-plus analogy of the qd algorithm
Relationship between 'Goals and Objectives' and 'Course Outcomes'

report Total.
1. 30% 30%
2. 40% 40%
3. 30% 30%
Total. 100% -
Language
Japanese
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Guidance
Definition of max-plus algebra, basic properties
Review of linear algebra 190minutes
2. Polynomials and factorizations on max-plus algebra Review of previous classes 190minutes
3. Functions on max-plus algebras and their graphs Review of previous classes 190minutes
4. Linear algebra over max-plus algebras 前回までの復習 190minutes
5. Matrices and graphs over max-plus algebra Review of previous classes 190minutes
6. Eigenvalues, eigenvectors, and graphs over max-plus algebra Review of previous classes 190minutes
7. Min-plus analogy of the qd algorithm Review of previous classes 190minutes
8. (Ends at the 7th class due to being a 1-credit course) (Ends at the 7th class due to being a 1-credit course) 0minutes
9. (Ends at the 7th class due to being a 1-credit course) (Ends at the 7th class due to being a 1-credit course) 0minutes
10. (Ends at the 7th class due to being a 1-credit course) (Ends at the 7th class due to being a 1-credit course) 0minutes
11. (Ends at the 7th class due to being a 1-credit course) (Ends at the 7th class due to being a 1-credit course) 0minutes
12. (Ends at the 7th class due to being a 1-credit course) (Ends at the 7th class due to being a 1-credit course) 0minutes
13. (Ends at the 7th class due to being a 1-credit course) (Ends at the 7th class due to being a 1-credit course) 0minutes
14. (Ends at the 7th class due to being a 1-credit course) (Ends at the 7th class due to being a 1-credit course) 0minutes
Total. - - 1330minutes
Evaluation method and criteria
Evaluation will be based on a short report on each lecture and a final report at the end of the term.
A student will pass the course if he/she is judged to have understood at least 60% of the content of the lectures.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
Textbooks are not specified.
Prerequisites
Basic knowledge of linear algebra I/II, numerical analysis I/II, and algebra is preferred.
Office hours and How to contact professors for questions
  • Tuesday, 4th period; it is advisable to contact in advance when visiting the lab..
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Wed Oct 02 04:04:02 JST 2024