trilinos/Trilinos
Apr 2025 – Mar 2026
2 Months active
Languages Used
C++
Technical Skills
C++ programmingnumerical methodsscientific computingC++ developmentalgorithm optimizationsoftware engineering
Alejandro Mota
PROFILE
Alejandro Mota
Contributed to the trilinos/Trilinos repository by enhancing tensor operations and improving solver reliability in scientific computing workflows. Developed a Padé-approximant-based tensor logarithm in C++ to replace the previous implementation, increasing convergence and numerical stability for deformation gradients with challenging eigenvalues. Validated these improvements through targeted numerical tests, broadening the applicability of tensor computations in simulation environments. Additionally, addressed parameter integrity issues in multi-solver workflows by deep-copying NOX parameter sublists, preventing in-place modifications and ensuring robust, reproducible time-stepping simulations. Demonstrated expertise in C++ development, algorithm optimization, and advanced memory management to deliver reliable, maintainable scientific software solutions.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
2,804
Activity Months2
Your Network
151 peopleSame Organization
@sandia.gov74
Work History
March 2026
1 Commits
Mar 1, 2026March 2026 monthly summary for Trilinos contribution, focusing on stability and correctness of NOX parameter handling in multi-solver workflows.
1 Commits
Mar 1, 2026March 2026 monthly summary for Trilinos contribution, focusing on stability and correctness of NOX parameter handling in multi-solver workflows.
March 2026
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Implemented Padé-approximant-based tensor log to replace the previous implementation in trilinos/Trilinos, improving convergence and numerical stability for deformation gradients with eigenvalues on or across the negative real axis. This enhancement strengthens robustness of tensor operations and broadens applicability to challenging simulations.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Implemented Padé-approximant-based tensor log to replace the previous implementation in trilinos/Trilinos, improving convergence and numerical stability for deformation gradients with eigenvalues on or across the negative real axis. This enhancement strengthens robustness of tensor operations and broadens applicability to challenging simulations.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ developmentC++ programmingalgorithm optimizationnumerical methodsscientific computingsoftware engineering
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