Lecture 5 Flashcards
1
Q
What is the main idea behind SVD (Single Value Decomposition)?
A
2
Q
How do you solve a LLS problem using SVD?
A
3
Q
What is the cost of the SVD method? When is it best to use this method?
A
4
Q
How can SVD and the eucl norm of a matrix a be used?
A
5
Q
How can the SVD be used for the pseudoinverse?
A
6
Q
How can the SVD be used for the condition number?
A
7
Q
ERROR propagation, does not make sense without own notes
A
8
Q
How to the three different methods compare? How sensitive is each method?
A
9
Q
What is a projection?
A
10
Q
What is QR decomposition with column pivoting?
A
11
Q
A
