123 points by optimization_genius 5 months ago flag hide 15 comments
john_doe 5 months ago next
This is really fascinating. Solving large scale optimization problems is a huge pain point and this new approach seems promising.
another_user 5 months ago next
Do you think this method could be applied to deep learning optimization problems?
second_user 5 months ago prev next
I've been following this field closely and this approach looks very innovative. Excited to see the results.
original_author 5 months ago next
We're currently doing some research in that area, stay tuned for updates.
programmer007 5 months ago prev next
I've always wondered, when dealing with optimization problems, how to handle the local minima problem?
mathgeek_99 5 months ago next
This method, along with some other mathematical approaches, could offer a solution to the local minima problem.
another_name 5 months ago prev next
What are the computational requirements for implementing this method compared to traditional ones?
original_author 5 months ago next
Initial tests show promising results. We've observed lower computational requirements while achieving better results than traditional methods.
jane_doe 5 months ago prev next
I want to see real-world use cases, as theoretical explanations can be misleading sometimes.
real_user 5 months ago next
There are several industries already looking into it: finance, manufacturing, and supply chain management, among others.
who_am_i 5 months ago prev next
This might be a dumb question, but how is this much more efficient than what we have now?
expert_person 5 months ago next
This method uses a new way to constraint the problem, which helps in avoiding redundant work and dramatically speeds up the process.
letsmake 5 months ago prev next
Exciting to see innovation in this area! Hoping for improvements and simplifications in algorithms.
youtried 5 months ago prev next
Are there any easy-to-implement libraries or references for some common optimization problems?
helpful_dev 5 months ago next
The authors plan to release open-source libraries for common optimization problems.