[HN Gopher] Open Problems in Computational geometry
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       Open Problems in Computational geometry
        
       Author : nill0
       Score  : 83 points
       Date   : 2025-05-17 09:37 UTC (13 hours ago)
        
 (HTM) web link (topp.openproblem.net)
 (TXT) w3m dump (topp.openproblem.net)
        
       | wrsh07 wrote:
       | Does anyone know if this is still up-to-date?
       | 
       | All three authors are large contributors to the field (the book
       | _discrete and computational geometry_ by O'Rourke & Devadoss is
       | excellent), Demaine has some origami in the collection at MoMA
       | NYC^, Mitchell found a ptas for euclidian tsp (Google it - the
       | paper is readable and there is another good write up of his vs
       | Arora's)
       | 
       | ^ https://erikdemaine.org/curved/MoMA/
        
         | yorwba wrote:
         | Last update to mark a problem as solved was in December last
         | year: https://github.com/edemaine/topp/pull/10
        
           | rurban wrote:
           | You just need to file a simple PR to mark a problem as solved
           | though. I cannot get much simplier
        
         | jll29 wrote:
         | Thanks for the pointer, I just saw the 2nd edition of Discrete
         | and Computational Geometry will be coming out in July:
         | https://www.amazon.com/-/en/Discrete-Computational-Geometry-...
         | (I preordered a copy)
        
         | boxfire wrote:
         | Definitely out of date, e.g. the 3SUM subquadratic conjecture
         | (probably 11) has been solved and improved on [1].
         | 
         | If it's not been already there's immediate application, e.g.
         | problem 41.
         | 
         | [1]:https://link.springer.com/article/10.1007/s00453-015-0079-6
        
       | mazsa wrote:
       | Are there any solutions similar to those found at
       | https://www.cs.ru.nl/~freek/100/ ?
        
       | ogogmad wrote:
       | Is any of the new machine learning tech promising here? I recall
       | some new invariants of minimal surfaces were discovered only a
       | few years ago by a DeepMind-made AI - and that's before LLMs. I'm
       | wondering if AI can invent notions as powerful as homology
       | groups: It could go about this by constructing lossy compressors
       | whose outputs can still be used to accurately predict properties
       | of geometric objects. That _is_ what homology groups and the like
       | are for.
        
         | jebarker wrote:
         | This does seem like one math domain where there's some
         | potential for program synthesis approaches like the recent
         | AlphaEvolve and others. I say that because some of these
         | problems you could feasibly write automatic evaluation code and
         | solve them by the LLM spitting out a constructor for solutions
         | and then doing hill climbing. That's not true in many areas of
         | math though. There's also problems here that require a proof
         | and maybe would be approachable eventually using automated
         | theorem proving. But there's also problems that don't obviously
         | fit into either of those categories.
        
         | bubblyworld wrote:
         | A technicality is that those compressors need to _provably_
         | predict properties of said geometric objects to be interesting
         | to mathematicans (a statement which itself needs appropriate
         | encoding in mathematical language - what exactly you want
         | probably depends on the problem you hope to solve). Something
         | that superficially looks good but works as a black box wouldn
         | 't cut it.
         | 
         | My understanding of ML interpretability research at the moment
         | is that it's very early days - too early, perhaps, to hope for
         | a general purpose compressor algorithm that produces proofs of
         | it's own workings (that seems like the holy grail). But of
         | course I would love to be wrong!
        
       | jll29 wrote:
       | It's a great idea to collect open problems, to give them a name
       | and unique number, to collect status updates, and to provide
       | related literature references. It would be good to keep this open
       | for submitting new problems also, and I'd like to see similar
       | activities for all sub-areas of mathematics and computer science.
       | 
       | Mathematicians led by Terence Tao are keen to explore new ways
       | for mathematicians to collaborate remotely and online to tackle
       | all open problems together in an open and technology-supported
       | way. I think problem inventories should be part of that, together
       | with proof collections, existing datasets such as the great On-
       | Line Encyclopedia of Integer Sequences (OEIS, at
       | https://oeis.org), and perhaps Jupyter-type notebooks that
       | utilize symbolic algebra systems, theorem provers etc.
        
       | lordfrito wrote:
       | Was hoping for some pretty pictures.... since there are none this
       | article isn't for me I guess.
        
         | rurban wrote:
         | Indeed. With more pictures such as at
         | https://topp.openproblem.net/p59 I foresee that there will be
         | much more solutions. You don't need to be an expert to solve
         | most, but they hide themselves behind expert language
        
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