plot_residual_energy()#
- PODBasis.plot_residual_energy(threshold=None, right: int = None, ax: Axes = None, **options)[source]#
Plot the residual singular value energy as a function of the basis size.
The residual energy of \(r\) singular values is defined by
\[\epsilon_r = \sum_{i=r+1}^k\sigma_i^2 \bigg/ \sum_{j=1}^k\sigma_j^2 = 1 - \left( \sum_{i=1}^r\sigma_i^2 \bigg/ \sum_{j=1}^k\sigma_j^2 \right)\]This method plots \(\epsilon_r\) as a function of \(r\).
- Parameters:
- thresholdfloat or list[float] or None
Cutoff value(s) to mark on the plot.
- rightint or None
Maximum singular value index to plot (
plt.xlim(right=right)
).- axmatplotlib.Axes or None
Axes to plot on. If
None
(default), a new single-axes figure is created.- optionsdict
Options to pass to
matplotlib.pyplot.semilogy()
.
- Returns:
- axmatplotlib.Axes
Axes for the plot.