Topics in Mathematical Optimization

Font Size  SML

Lecturer
Fukuda Mituhiro 
Place
Fri7-8(W832)  
Credits
Lecture2  Exercise0  Experiment0
Code
75049
Syllabus updated
2013/7/18
Lecture notes updated
2013/7/18
Access Index
Semester
Spring Semester

Lecture

Lecture 1 Convex sets

2013.4.12(Fri.) 7-8session

Lecture

Lecture 2 Separation theorem for convex sets

2013.4.19(Fri.) 7-8session

Lecture

Lecture 3 Optimality conditions for differentiable functions

2013.4.26(Fri.) 7-8session

Lecture

Lecture 4 Complexity bound for a global optimization problem on the unit box

Lecture

Lecture 5 Steepest descent methods

2013.5.10(Fri.) 7-8session

Lecture

Lecture 6 Convergence analysis

2013.5.15(Wed.) 7-8session

Lecture

Lecture 7 Conjugate gradient and quasi-Newton methods

2013.5.24(Fri.) 7-8session

Lecture

Lecture 8 Diffentiable convex functions

2013.5.31(Fri.) 7-8session

Lecture

Lecture 9 Convex functions

Lecture

Lecture 10 Worse case analysis for gradient based methods

2013.6.14(Fri.) 7-8session

Lecture

Lecture 11 Worse case analysis for strongly convex functions

Lecture

Lecture 12 Optimal Gradient Method

2013.6.28(Fri.) 7-8session

Lecture

Lecture 13 Optimal Gradient Method (continuation)

Lecture

Lecture 14 Optimal Gradient Method for Simple Constrained Sets

Lecture

Lecture 15 Optimal Gradient Method for Min-Max Problem

2013.7.19(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