Comment by lukebuehler
Comment by lukebuehler 2 days ago
scale and speed. for example, most quant trading firms run huge optimizations as often as possible. open-source solver often cannot even solve the problems (OOM exceptions, etc)
Comment by lukebuehler 2 days ago
scale and speed. for example, most quant trading firms run huge optimizations as often as possible. open-source solver often cannot even solve the problems (OOM exceptions, etc)
In most MILP domains, the underlying engineering know-how is more critical than mathematical formulations or CS coding: (that's why most OR groups operate independently of math or CS departments).
OSS never took off among professional engineers because they've have "skin in the game", unlike math and CS folks who just reboot, and pretend nothing is wrong.