“Unlikely research area reveals surprising twist in non-smooth optimization.”

“Nothing takes place in the world whose meaning is not that of some maximum or minimum. — Leonhard Euler.

“Modern machine learning is characterized by two key features: high-dimensional models and very large datasets. Each of these features presents its own unique challenges, from basic issues such as storing and accessing all of the data to more intricate mathematical quests such as finding good algorithms to search through the high-dimensional space of models.”

Source Link:

Unlikely research area reveals surprising twist in nonsmooth optimization.

Relevant Reference Links:


An introduction to nonsmooth convex optimization: numerical algorithms;

Professor Boris S. Mordukhovich’s Important Publications.

Published by Dave

I am currently a science researcher at researchgate.net (https://www.researchgate.net/profile/David_Cole29). My interests include number theory, mathematical analysis, and energy theory (physics)... And we (Cole, Montgomery, Lagarias, Odlyzko, Hardy, Riemann, Gauss, and other mathematicians) proved the Riemann Hypothesis! 🙂

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: