Table 2.

Pros and Cons of the number of solution points in the inverse space.

Lower number of solution points	Higher number of solution points
(+) Faster to compute the matrices	(–) Longer to compute the matrices
(+) Less memory	(–) More memory
(+) Less numerical precision issues	(–) More numerical precision issues
(+) Smaller matrices and faster display	(–) Larger matrices and slower display
(–) Less spatial resolution	(+) More spatial resolution
(–) Less spatial accuracy	(+) Somewhat more spatial accuracy
(–) Less neighbors around each solution point	(+) More neighbors around each solution point