Topics in Mathematical Optimization

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Lecturer
Fukuda Mituhiro 
Place
Fri7-8(W832)  
Credits
Lecture2  Exercise0  Experiment0
Code
75049
Syllabus updated
2014/3/18
Lecture notes updated
2014/7/25
Access Index
Semester
Spring Semester

Lecture

Lecture 1 Convex sets

2014.4.11(Fri.) 7-8session

Lecture

Lecture 2 Lipschitz continuous differentiable functions

2014.4.18(Fri.) 7-8session

Lecture

Lecture 3 Optimality conditions for differentiable functions

2014.4.25(Fri.) 7-8session

Lecture

Lecture 4 Algorithms to minimize unconstrained functions

2014.5.2(Fri.) 7-8session

Lecture

Lecture 5 Steepest descent method and Newton method

2014.5.9(Fri.) 7-8session

Lecture

Lecture 6 Mid-term exam

2014.5.23(Fri.) 7-8session

Lecture

Lecture 7 Conjugate gradient and quasi-Newton methods

2014.5.30(Fri.) 7-8session

Lecture

Lecture 8 Differentiable convex functions

2014.6.6(Fri.) 7-8session

Lecture

Lecture 9 Differentiable convex functions with Lipschitz continuous gradients

2014.6.13(Fri.) 7-8session

Lecture

Lecture 10 Worse case analysis for gradient based methods

2014.6.20(Fri.) 7-8session

Lecture

Lecture 11 Steepest descent method for differentiable and convex functions

2014.6.27(Fri.) 7-8session

Lecture

Lecture 12 Estimate sequences for the optimal gradient method

2014.7.4(Fri.) 7-8session

Lecture

Lecture 13 The optimal gradient method

2014.7.11(Fri.) 7-8session

Lecture

Lecture 14 Optimality conditions for the min-max problem

2014.7.18(Fri.) 7-8session

Lecture

Lecture 15 The optimal method for the min-max problem

2014.7.25(Fri.) 7-8session

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