Course Overview

コンピュータアルゴリズムを使い工学、化学、医学、経済学で現れるシミュレーション問題を解く。具体的な項目として、差分法、緩和法、エントロピー最大化法、フラクタル、人工生命を使った物理的現象モデル、カオスの理論とその応用等

Learning Achievement

Motivation: The particle-in-cell (PIC) simulation method is the
method of choice for studying problems on a small (kinetic) scale in
1 Space plasmas.
2 Laboratory plasmas.
3 Astrophysical plasmas.
This course aims at familiarizing students with the underlying
numerical scheme and some properties of the simulation plasma.

Competence

知の活用力，研究力，専門知識

Course prerequisites

familiar with basic programming

Grading Philosophy

Home Work Assignments

Course schedule

Lecture 1: The finite difference scheme (fields).
Lecture 2: Plasma representation.
Lecture 3: Numerical Instability.
Lecture 4: Implicit vs explicit schemes.
Lecture 5: Effects of the finite grid.
Lecture 6: Dispersive properties.
Lecture 7: Open boundary conditions.

Course type

Lectures

Online Course Requirement

Instructor

Cai Dongsheng

Other information

Site for Inquiry

Link to the syllabus provided by the university