Understanding Collision Detection as an Optimization Problem: GJK and Frank-Wolfe Connection

Reflecting on Optimisation: A Personal Take on Theory vs. Modern Practice

This is nothing to be proud of, but I have never really studied optimisation in depth. Oh sure, I know my Adam from my AdaGrad and I even us

The Bulletin: The raw energy of collisions, crossovers, and reinventions [Issue #122]

Placing 5th in the GPU MODE QR Decomposition Competition: Optimization Techniques and Lessons Learned

How I placed 5th in the GPU MODE qr_v2 competition with common sense engineering, linear algebra tricks, an agent swarm, and a dream.

Decomposition and Successive Decomposition Methods and Algorithms for Nonconvex Optimization

Existing results on decomposition methods and algorithms for nonconvex problems are minimal. Parallel decomposition algorithms do not exist

Can GPT-5.6 Solve 30-Year-Old Optimization Problems?

A Medium post flagged on Hacker News reports that GPT-5.6 Sol Pro produced a solution to a convex optimization problem that had remained ope

Unified Framework for Black-Box Optimization Reveals Hybrid Methods Outperform Constituent Algorithms

When gradient information is unavailable, black-box optimization (BBO) methods provide a practical alternative. While Evolution Strategies (

Unified Framework for Black-Box Optimization Reveals Hybrid Methods Outperform Constituent Algorithms

When gradient information is unavailable, black-box optimization (BBO) methods provide a practical alternative. While Evolution Strategies (