Jan Schwiddessen

Measurable performance through algorithms. PhD candidate in mathematical optimization.

This page lists my open-source projects with links to code, docs, and releases. Questions? Open an issue on GitHub or email me.

AugmentedMixing.jl

AugmentedMixing.jl is a Julia package that implements the Augmented Mixing Method, an algorithm for computing high-accuracy primal–dual solutions to large-scale semidefinite programs (SDPs).

It is based on the following preprint:

Daniel Brosch, Jan Schwiddessen, Angelika Wiegele.
The Augmented Mixing Method: Computing High-Accuracy Primal-Dual Solutions to Large-Scale SDPs via Column Updates.
Preprint, (2025).
arXiv

SDP-S3VM

SDP-S3VM provides an exact SDP-based algorithm for semi-supervised support vector machines (S3VMs).

It is based on the following paper:

Veronica Piccialli, Jan Schwiddessen, Antonio M. Sudoso.
Optimization meets machine learning: an exact algorithm for semi-supervised support vector machines.
Mathematical Programming, Series B, (2024).
SpringerLink · DOI · arXiv