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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Mathematical and Computing Science
- Instructor(s)
- Fukuda Mituhiro Yamashita Makoto
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Tue5-6(W331) Fri5-6(W331)
- Group
- -
- Course number
- MCS.T402
- Credits
- 2
- Academic year
- 2016
- Offered quarter
- 3Q
- Syllabus updated
- 2016/4/27
- Lecture notes updated
- 2016/11/18
- Language used
- English
- Access Index
-
Lecture
Lecture 1 Convex sets and related results
2016.9.23(Fri.) 5-6Session
mota-16-3q-1(79KB)
Lecture
Lecture 2 Lipschitz continuous differentiable functions
2016.9.30(Fri.) 5-6Session
Lecture
Lecture 3 Optimal conditions for differentiable functions
2016.10.4(Tue.) 5-6Session
Lecture
Lecture 4 Minimization algorithms for unconstrained optimization problems
2016.10.11(Tue.) 5-6Session
Lecture
Lecture 5 Steepest descent method and Newton method
2016.10.14(Fri.) 5-6Session
Lecture
Lecture 6 Conjugate gradient methods, quasi-Newton methods
2016.10.18(Tue.) 5-6Session
Lecture
Lecture 7 Convex differentiable function
2016.10.21(Fri.) 5-6Session
Lecture
Lecture 8 General assignment to check the comprehension
2016.10.25(Tue.) 5-6Session
Lecture
Lecture 9 Differentiable Convex functions with Lipschitz continuous gradients
2016.10.28(Fri.) 5-6Session
Lecture
Lecture 10 Differentiable Strongly Convex Functions
2016.11.1(Tue.) 5-6Session
Lecture
Lecture 11 Worse case analysis for gradient based methods
2016.11.4(Fri.) 5-6Session
Lecture
Lecture 12 Steepest descent method for differentiable convex functions
2016.11.8(Tue.) 5-6Session
Lecture
Lecture 13 Estimate sequence in accelerated gradient methods for differentiable convex functions
2016.11.11(Fri.) 5-6Session
Lecture
Lecture 14 Accelerated gradient method for differentiable convex functions
2016.11.15(Tue.) 5-6Session
Lecture
Lecture 15 Accelerated gradient methods for min-max problems
2016.11.22(Tue.) 5-6Session
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