https://plancherb1.github.io/authors/rolandschwan/ Recent content on Brian Plancher Hugo -- gohugo.io en-us © {year} Brian Plancher Mon, 26 Oct 2026 00:00:00 +0000 https://plancherb1.github.io/authors/rolandschwan/ Mon, 26 Oct 2026 00:00:00 +0000 https://plancherb1.github.io/authors/rolandschwan/ https://plancherb1.github.io/publication/osqpslack/ Mon, 26 Oct 2026 00:00:00 +0000 https://plancherb1.github.io/publication/osqpslack/ we propose an Alternating Direction Method of Multipliers (ADMM) scheme for a broad class of convex slack penalty functions, including all ℓk-norms, without increasing the problem size. The only change to the ADMM scheme is a modified slack projection function, while the remaining algorithm stays the same. We demonstrate our approach on numerical examples, showing significant speedups, and show its flexibility on an energy optimization problem.