Fix Version/s: None
Team:Data Release Production
The current deblender uses an update scheme similar to ADMM, where constraints are not strictly enforced in any given step but instead the solution converges to meet the constraint. It should be possible to make monotonicity a proximal operator applied to the likelihood gradient, as opposed to a linear constraint, which will force a strict monotonic solution.
This ticket will be an attempt to add the option of using strict monotonicity in the deblender.
|Sprint||DRP F17-1 [ 614 ]||DRP S17-6 [ 365 ]|
|Status||To Do [ 10001 ]||In Progress [ 3 ]|
|Reviewers||Peter Melchior [ pmelchior ]|
|Status||In Progress [ 3 ]||In Review [ 10004 ]|
|Status||In Review [ 10004 ]||Reviewed [ 10101 ]|
|Resolution||Done [ 10000 ]|
|Status||Reviewed [ 10101 ]||Done [ 10002 ]|