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Mar 17, 2015 at 19:17 comment added Dirk For some reason I confused $g$ and $f$. Of course $f$ should be the unknown… Corrected.
Mar 17, 2015 at 19:16 history edited Dirk CC BY-SA 3.0
corrected variable names
Mar 17, 2015 at 13:08 vote accept Kurt
Mar 17, 2015 at 12:39 comment added Kurt Is the method still valid if the unknown is $f$? If yes, I will definitely take a look at that! Thank you Dirk!
Mar 16, 2015 at 20:13 comment added Dirk The most simple thing that comes to mind is the projected gradient method, see my update.
Mar 16, 2015 at 20:12 history edited Dirk CC BY-SA 3.0
added 361 characters in body
Mar 16, 2015 at 20:03 comment added Kurt Thank you Dirk! I am indeed trying to use "least squares" i.e. minimization. Now, do you know any source of info about methods that make practical use of constraints on $g$ and $f$?
Mar 16, 2015 at 19:59 history answered Dirk CC BY-SA 3.0