Faculty of Science and Engineering

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COS300XE（計算科学 / Computational science 300）
Optimization

Hirahara MAKOTO

Class code etc
Faculty/Graduate school Faculty of Science and Engineering
Attached documents
Year 2022
Class code H6108
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 月3/Mon.3
Class Type
Campus 小金井
Classroom name 各学部・研究科等の時間割等で確認
Grade
Credit(s)
Notes
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes)
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Category 応用情報工学科
学科専門科目

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Outline (in English)

Optimization is the process of finding variable values that maximize or minimize an objective function (e.g. maximizing profit, minimizing cost). This course introduces fundamental methods for solving real-valued optimization problems that arise in various areas of science and engineering. Topics include Lagrangian method, gradient method, Newton's method, Quasi-Newton method, conjugate gradient method, Levenberg-Marquardt method and Gauss-Newton method. This course places emphasis on mathematical derivation and computer implementation of the optimization methods. At the end of this course, students are expected to derive the methods and implement them from scratch in Excel. Students will be expected to have completed the required assignments after each class meeting. Before/after each class meeting, students will be expected to spend four hours to understand the course content. Final grade will be calculated according to the following process: homework (30%) and term-end examination (70%).

Default language used in class

日本語 / Japanese