
Over three months, John Smith developed and organized numerical solvers and educational assets for the obokhove/FDnumerics2024 repository. He implemented a Firedrake-based Poisson solver and a Godunov-scheme shallow water solver using Python, leveraging the Finite Element Method and Discontinuous Galerkin techniques to enable reproducible numerical experiments and analytical error analysis. John also created annotated scripts, exercise PDFs, and comprehensive documentation to support both self-guided learning and future contributor onboarding. His work emphasized maintainable project structure, clear version control, and robust scientific computing practices, resulting in a well-documented, accessible codebase that facilitates accurate modeling and streamlined future development.

January 2025 (2025-01): Delivered a robust shallow water solver using a Godunov-based scheme (DG0) for linear shallow water equations, with full FEM framework: mesh setup, function spaces, initial conditions for velocity and water height, weak form, and time marching via a linear solver. Implemented multiple script variants for different initial conditions and added two key deliverables: Num2Q4.py and Ex2Q67codeadapted.py. Completed extensive submission packaging and repository organization for Exercise 2, including file reorganizations, renames to separate old solutions from amended submissions, and updates to readme/documentation. Key commits include Create Num2Q4.py (4f6521b8a8ea4fff21ccaac6f8c1c7ea1f2bd382) and Create Ex2Q67codeadapted.py (78b2980ec99afbef1c25aa72d8337e847473f388), as well as a sequence of renames and file additions for Exercise 2 (e.g., 43ccfef338715df263251057a01428a2875a56f4; 07fa0ee06a0cecb9ffc44724e4183252866bcdb1; d24c3cb302f1e30e04f882a1e38152367136387d; 0b43d0788eabb70864bf0852be3413f637c3e993; fbcf4ffc82a8cbe27ee94c9252e7c2624d02a3ba; ca910ec7a927329db224f5f3f1b3e9e643910c45; 315e1a5789e19391b7c46bccf6ad1cc94fc25714; fbe783be2c091c11e2ada8590f042e65e5c14956; 6fbce2203c0b7ecd4baa2300b80254668047e32c; 07797f87bd0dcdcd9609e1d4f0eec6ee4578adbf; dd77efe0b51d2d169013e29becfe16cc85babf0e; 5162cac587f42da5eecbbd300aed1c0e5f62ea41; 499744d659070031d575a167a6fbb88012405ed6).
January 2025 (2025-01): Delivered a robust shallow water solver using a Godunov-based scheme (DG0) for linear shallow water equations, with full FEM framework: mesh setup, function spaces, initial conditions for velocity and water height, weak form, and time marching via a linear solver. Implemented multiple script variants for different initial conditions and added two key deliverables: Num2Q4.py and Ex2Q67codeadapted.py. Completed extensive submission packaging and repository organization for Exercise 2, including file reorganizations, renames to separate old solutions from amended submissions, and updates to readme/documentation. Key commits include Create Num2Q4.py (4f6521b8a8ea4fff21ccaac6f8c1c7ea1f2bd382) and Create Ex2Q67codeadapted.py (78b2980ec99afbef1c25aa72d8337e847473f388), as well as a sequence of renames and file additions for Exercise 2 (e.g., 43ccfef338715df263251057a01428a2875a56f4; 07fa0ee06a0cecb9ffc44724e4183252866bcdb1; d24c3cb302f1e30e04f882a1e38152367136387d; 0b43d0788eabb70864bf0852be3413f637c3e993; fbcf4ffc82a8cbe27ee94c9252e7c2624d02a3ba; ca910ec7a927329db224f5f3f1b3e9e643910c45; 315e1a5789e19391b7c46bccf6ad1cc94fc25714; fbe783be2c091c11e2ada8590f042e65e5c14956; 6fbce2203c0b7ecd4baa2300b80254668047e32c; 07797f87bd0dcdcd9609e1d4f0eec6ee4578adbf; dd77efe0b51d2d169013e29becfe16cc85babf0e; 5162cac587f42da5eecbbd300aed1c0e5f62ea41; 499744d659070031d575a167a6fbb88012405ed6).
Month: 2024-12. Focused on delivering core solver capabilities for the FDnumerics2024 project and establishing a solid onboarding/documentation baseline to accelerate future work. The efforts emphasize business value through validated numerical experiments, reproducibility, and faster contributor onboarding.
Month: 2024-12. Focused on delivering core solver capabilities for the FDnumerics2024 project and establishing a solid onboarding/documentation baseline to accelerate future work. The efforts emphasize business value through validated numerical experiments, reproducibility, and faster contributor onboarding.
November 2024 — Obokhove Numerics course assets delivered in obokhove/FDnumerics2024. Focused on expanding learner content with no code changes required. Added two PDFs for Exercises 1 and 2 and an annotated Python script for Exercise 2, Question 4 to support self-guided study and course completeness.
November 2024 — Obokhove Numerics course assets delivered in obokhove/FDnumerics2024. Focused on expanding learner content with no code changes required. Added two PDFs for Exercises 1 and 2 and an annotated Python script for Exercise 2, Question 4 to support self-guided study and course completeness.
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