Topics in Mathematical Optimization

Font Size  SML

Lecturer
Fukuda Mituhiro 
Place
Fri7-8(W832)  
Credits
Lecture2  Exercise0  Experiment0
Code
75049
Syllabus updated
2015/3/16
Lecture notes updated
2015/7/10
Access Index
Semester
Spring Semester

Lecture

Lecture 1 Convex sets

2015.4.10(Fri.) 7-8session

Lecture

Lecture 2 Lipschitz continuous differentiable functions

2015.4.17(Fri.) 7-8session

Lecture

Lecture 3 Complexity bound for a global optimization problem on the unit box

2015.4.24(Fri.) 7-8session

Lecture

Lecture 4 Line search methods

2015.5.1(Fri.) 7-8session

Lecture

Lecture 5 Newton method, conjugate gradient methods

2015.5.8(Fri.) 7-8session

Lecture

Lecture 6 Quasi-Newton methods

2015.5.22(Fri.) 7-8session

Lecture

Lecture 7 Differentiable convex functions

2015.5.29(Fri.) 7-8session

Lecture

Lecture 8 Mid-term exam

2015.6.5(Fri.) 7-8session

Lecture

Lecture 9 Differentiable Convex functions with Lipschitz continuous gradients

2015.6.12(Fri.) 7-8session

Lecture

Lecture 10 Differentiable strongly convex functions with Lipschitz continuos gradients

2015.6.19(Fri.) 7-8session

Lecture

Lecture 11 Worse case analysis for gradient based methods

2015.6.26(Fri.) 7-8session

Lecture

Lecture 12 Estimate sequence

2015.7.3(Fri.) 7-8session

Lecture

Lecture 13 Accelerated gradient method

2015.7.10(Fri.) 7-8session

Lecture

Lecture 14 縲

2015.7.17(Fri.) 7-8session

Lecture

Lecture 15 縲

2015.7.24(Fri.) 7-8session

Get Adobe Reader

It is necessary for those who refer to the PDF file to use "Adobe Reader" as the plug-in software of Adobe System Company.
If you don't have the software, please download from this item (free).

Creative Commons License

Page Top