You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Add a plotting method that generates a voronoi diagram from the locations visited during optimisation. This can be an optional arg passed to pybop.plot2d. This method will only use the previous optimiser visits without generating new ones. Further information on voronoi diagram, as well as Pints' implementation using Matplotlib.
Motivation
This provides a fast implementation to view the cost landscape for convergence diagnostics. Users can then determine if they wish to investigate further with the currently reconstruction implementation with pybop.plot2d
Possible implementation
Add a plotting method that generates the voronoi diagram (SciPy has functionality for this).
Extract voronoi vertices from the above, and pass them to a Plotly surface object
Additional context
No response
The text was updated successfully, but these errors were encountered:
Feature description
Add a plotting method that generates a voronoi diagram from the locations visited during optimisation. This can be an optional arg passed to
pybop.plot2d
. This method will only use the previous optimiser visits without generating new ones. Further information on voronoi diagram, as well as Pints' implementation using Matplotlib.Motivation
This provides a fast implementation to view the cost landscape for convergence diagnostics. Users can then determine if they wish to investigate further with the currently reconstruction implementation with
pybop.plot2d
Possible implementation
Additional context
No response
The text was updated successfully, but these errors were encountered: