In March 2026, delivered a targeted feature upgrade for the JuliaPackaging/Yggdrasil repository, upgrading the HOHQMesh tarball to v1.5.5 to ensure builds pull the latest source and upstream fixes. This work improves build stability, reproducibility, and downstream deployment readiness. No critical bugs were fixed in this repository this month.

Month: 2025-04 — Focused on improving boundary data fidelity in Trixi.jl. Key feature delivered: refactored cell2node to use linear extrapolation for boundary values, replacing the previous periodic boundary assumption. This improves accuracy of converting cell-centered data to node-centered data at domain edges and non-periodic boundaries. Implementation linked to commit 537a2750448d702d77cda041bd0029451cb415a8 (Use linear extrapolation in `cell2node` function, #2374). Impact includes higher simulation fidelity at domain edges and better boundary handling, enabling more reliable results in edge-dominated scenarios. No major bugs fixed this month. Technologies demonstrated: Julia, numerical methods, refactoring, boundary-condition handling, and strong change-traceability.

February 2025 monthly summary for trixi-framework/Trixi.jl focused on advancing non-conservative equation handling to boost accuracy, stability, and customization in simulations. Delivered specialized routines groundwork and supporting documentation to enable custom implementations of dissipation and positivity-preserving strategies, while safeguarding against artificial dissipation and unintended modifications to the auxiliary 'a' coefficient in non-conservative linear advection problems. This work strengthens numerical robustness and sets the stage for broader adoption by users designing non-conservative solvers.

November 2024 monthly summary for trixi-framework/Trixi.jl: Delivered a critical bug fix to mortar flux conservation across mesh types (P4estMesh, T8codeMesh, TreeMesh). Updated tests to validate conservation and prevent regressions. The change preserves primary and secondary flux handling and improves cross-mesh numerical accuracy, contributing to reliable simulations and better reproducibility.