So, you want to get better at those tricky LeetCode Python problems, huh? It’s a common goal, especially if you’re aiming for ...

Anthropic’s Claude Opus 4.6 introduces "Adaptive Thinking" and a "Compaction API" to solve context rot in long-running agents. The model supports a 1M token context window with 76% multi-needle ...

Abstract: This paper investigates a fairness optimization problem of physical layer security (PLS) in an intelligent reflecting surface (IRS) assisted multi-user uplink communication system. Due to ...

Sophus to host March 10 webinar unveiling Quantum Solver, delivering 50–100× faster optimization for complex supply chain models and decision intelligence. What if organizations no longer had to ...

Classical portfolio optimization (Markowitz mean-variance) has well-known limitations: sensitivity to estimation error, Gaussian return assumptions, and variance as a poor proxy for tail risk. CVaR ...

Americans can expect smaller tax bills and bigger refunds this year—after they navigate a pile of new rules from last year’s tax law. “Any time people have big life changes or there are law changes, ...

One day after the WNBA and Women's National Basketball Association (WNBPA) agreed to extend the current collective barging agreement (CBA) through Jan. 9, the league has reportedly come to the ...

So, you’re looking to get better at coding with Python, and maybe you’ve heard about LeetCode. It’s a pretty popular place to practice coding problems, especially if you’re aiming for tech jobs.

SLSQP stands for Sequential Least Squares Programming. It is a numerical optimization algorithm used to solve constrained nonlinear optimization problems. In this project, we aim to optimize objective ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...