oscar-system/Oscar.jl
Nov 2024 – Jan 2025
2 Months active
Languages Used
Julia
Technical Skills
Code FormattingComputational AlgebraPolyhedral GeometryRefactoringSoftware TestingAlgebraic Geometry
Erik Paemurru
PROFILE
Erik Paemurru
Worked on Oscar.jl to enhance the reliability and correctness of polyhedral geometry computations, focusing on both core functionality and supporting infrastructure. Addressed a bug in the cones function to ensure proper handling of zero-dimensional and negative-dimensional cases, improving numerical stability for downstream optimization. Refactored toric blowups by streamlining polyhedral fan construction and delegating core logic, which increased maintainability and test reliability. Updated documentation with clearer LaTeX formatting to aid onboarding and reduce maintenance overhead. Leveraged Julia, LaTeX, and computational algebra expertise throughout, with a strong emphasis on software testing and technical writing to ensure robust, well-documented code.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
2
Lines of code
75
Activity Months2
Work History
January 2025
3 Commits • 2 Features
Jan 1, 2025Month: 2025-01. Focused on toric blowups in Oscar.jl: improved reliability of tests and updated documentation; results include more robust toric blowups core implementation and clearer docs, reducing maintenance cost and onboarding time.
3 Commits • 2 Features
Jan 1, 2025Month: 2025-01. Focused on toric blowups in Oscar.jl: improved reliability of tests and updated documentation; results include more robust toric blowups core implementation and clearer docs, reducing maintenance cost and onboarding time.
January 2025
November 2024
3 Commits
Nov 1, 20242024-11 focused on improving correctness and reliability of cone-related computations in Oscar.jl. The primary deliverable was a bug fix in the cones function to correctly handle zero-dimensional cones: negative dimensions return an empty iterator, while zero-dimensional cones yield the appropriate iterator when the lineality space is zero. Regression tests were added to verify behavior across multiple dimensions. Minor formatting tweaks were applied to properties.jl with no functional changes. This work enhances numerical correctness and stability for downstream optimization workflows and is backed by updated tests.
November 2024
3 Commits
Nov 1, 20242024-11 focused on improving correctness and reliability of cone-related computations in Oscar.jl. The primary deliverable was a bug fix in the cones function to correctly handle zero-dimensional cones: negative dimensions return an empty iterator, while zero-dimensional cones yield the appropriate iterator when the lineality space is zero. Regression tests were added to verify behavior across multiple dimensions. Minor formatting tweaks were applied to properties.jl with no functional changes. This work enhances numerical correctness and stability for downstream optimization workflows and is backed by updated tests.
Activity
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Quality Metrics
Correctness91.6%
Maintainability86.6%
Architecture90.0%
Performance83.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Julia
Technical Skills
Algebraic GeometryCode FormattingComputational AlgebraDocumentationJulia ProgrammingLaTeXPolyhedral GeometryRefactoringSoftware TestingTechnical WritingTesting
Repositories Contributed To
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