Prof. Dr. Peter Arbenz
Assistent:
Home
252-0504-00 G
Numerical Methods for Solving Large Scale Eigenvalue Problems
(Spring semester 2018)
The exercises are an integral part of the lecture.
Exercises
Assignment 1
(Separation of variables, Matlab PDE toolbox)
Model solution
Assignment 2
(Basics)
(You will need the following m-file :
kmeans.m
)
Model solution
Assignment 3
(Polynomial eigenvalue problems; Hyman's algorithm)
Model solution
Assignment 4
(QR algorithm)
(You will need the m-files in the following tar file:
exercise04.tar
)
Model solution
(m-files)
Assignment 5
(Vector iteration/power method)
(You will need following m-file:
mark.m
)
Model solution
Assignment 6
(Subspace iteration)
(You will need the following m-files:
svit.m
,
auto.m
)
Model solution
Assignment 7
(Krylov spaces / Lanczos method)
Model solution
Assignment 8
(Thick restart Lanczos)
(You will need the solution of Assignment 7.)
Model solution
Assignment 9
(Polynomial filtering)
(You will need the m-files in the following tar-file :
exercise09.tgz
)
Model solution
Assignment 10
(Jacobi-Davidson)
(You will need the m-files in the following zip-file :
exercise10.zip
)
Model solution
Comments to
arbenz@inf.ethz.ch
.
Addresses
Exercises
Lecture notes
Slides