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| Raymond, does the following give what you want? l = {{a, {a, a}}, {b, {b, {b}}}, {c, {c, {c, {c, c}}}}}; Flatten[Map[Flatten[#, Depth[#] - 3] &, l], 1] (* {a, {a, a}, b, b, {b}, c, c, c, {c, c}} *) |
| Thanks for taking the time to elaborate these details. Merci ! |
| Yes, indeed. Kudos to @b3m2a1. I am still working through the stackexchange link's other undocumented features. It looks like a gold mine. Thanks. |
| Alright, I can indeed reproduce---sending to support right away. Thanks! |
| This is useful information, Neil. I ended up with this simple, non-optimal, algorithm: 1. Cluster all stops according to their nearest depot 2. Within each cluster, start a route taking the furthest stop and greedily adding the nearest stops... |
| Kudos to all developers! This is very useful for folks who have access to both systems. |
| Finite difference method is used for image compression ( http://jre.cplire.ru/iso/nov12/1/text.pdf ) and ( http://elibrary.ru/item.asp?id=27147482 ) and ( http://www.freepatent.ru/images/patents/497/2500067/patent-2500067.pdf ). First formed... |
| Thanks for the link! Yes, style transfer can yield pretty cool results. Such deep learning methods are trainable with the Wolfram Language. Soon enough there will be a net model doing that in Mathematica. |
| Thanks for the post Matthias! This is a beautiful example of a self-similar structure. Unfortunately I only had time for a very quick test right now, but if we use more box sizes (a proper way would be to pad the image when necessary), we get a... |
| Oh oh, I hope the first picture was taken after the flooded one. Are you trying to find a geometrical transformation that would align these two images so that you can measure the level of water, etc.? If so, give a shot at... |