An Algorithm for Nonsymmetric Conic Optimization Inspired by MOSEK
Not on the map. Why?
Abstract (arXiv)
We analyze the scaling matrix, search direction, and neighborhood used in MOSEK's algorithm for nonsymmetric conic optimization [Dahl and Andersen, 2019]. It is proven that these can be used to compute a near-optimal solution to the homogeneous self-dual model in polynomial time.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 3 Mar 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1.
1 paper.
- 2023Inference for Probabilistic Dependency Graphscited by 1
- 2023Inference for Probabilistic Dependency Graphs9 Nov 2023