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96
Explain the Singular Value Decomposition!
Given
, a system

might be over- or under-determined. We still want to compute an approximate solution.
For any such
, there exists the Singular Value Decomposition
where
is orthonormal: 

is orthonormal: 
From this, we can construct the pseudo-inverse

where
where

Due to numerical imprecisions, we use

Now, we can compute a solution:




This solution is


might be over- or under-determined. We still want to compute an approximate solution.
For any such







From this, we can construct the pseudo-inverse

where

where

Due to numerical imprecisions, we use

Now, we can compute a solution:




This solution is
- a solution in the least-squares sense if M is overdetermined
- a solution in the last-norm sense if M in underdetermined

Karteninfo:
Autor: janisborn
Oberthema: Informatik
Thema: Computergrafik
Schule / Uni: RWTH Aachen
Ort: Aachen
Veröffentlicht: 18.05.2022