Abstract
The L-curve is a log-log plot of the norm of a regularized solution versus
the norm of the corresponding residual norm. It is a convenient graphical
tool for displaying the trade-off between the size of a regularized solution
and its fit to the given data, as the regularization parameter varies. The
L-curve thus gives insight into the regularizing properties of the underlying
regularization method, and it is an aid in choosing an appropriate regularization
parameter for the given data. In this chapter we summarize the
main properties of the L-curve, and demonstrate by examples its usefulness
and its limitations both as an analysis tool and as a method for choosing
the regularization parameter.
| Original language | English |
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| Title of host publication | InviteComputational Inverse Problems in Electrocardiology |
| Publisher | WIT Press |
| Publication date | 2000 |
| Publication status | Published - 2000 |
| Event | InviteComputational Inverse Problems in Electrocardiology - Duration: 1 Jan 2000 → … |
Conference
| Conference | InviteComputational Inverse Problems in Electrocardiology |
|---|---|
| Period | 01/01/2000 → … |